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Syntrace builds conversational knowledge for institutional investors. We capture, organize and synthesize private conversations into source-backed knowledge a firm can build on. We are now hiring a Data Scientist, based in New York. You will turn conversations and usage into insight: building models that measure the quality of what our AI delivers, finding patterns in how customers use the product and designing the experiments that make it better. You will work closely with our product and engineering teams. Our users trust us with the most sensitive conversations they have. That makes security part of the product, not a feature on top of it. What you bring: • Several years as a data scientist, ideally at a fast-growing company., • Strong Python and SQL, and a solid grounding in statistics., • Clear thinking. What you get: • A founding role with real ownership., • A senior team that has scaled companies before., • Hard problems where accuracy is the product. To apply, send a short note to careers@syntrace.com about yourself. If you know someone who should read this, send it to them.

Job DescriptionScientist – Engineer, MSAT The Scientist-Engineer, MSAT performs process and analytical experimental studies as part of a team that is effectively delivering cell therapy services to clients in accordance with defined scope of work, timelines, and budgets. This includes leading projects in process development, technology transfer and continuous improvement of our client's novel manufacturing processes. Our goal is to support our clients in developing commercially viable cell therapy products, so that they can become accessible to all. • Accountable for the design and execution of experimental studies in the laboratory, for example:, • Perform laboratory experiments for client projects, • Perform analytical testing for client projects, • Preparation and scheduling of laboratory equipment for experiments, • Provide technical leadership of client products during manufacturing and development, for example:, • Direct technical communication with clients during manufacturing and development, • Support manufacturing in identifying and resolving manufacturing process constraints, • Lead the generation of manufacturing and development documentation, for example:, • Generating experiment protocols and reports for development projects, • Generating draft batch records and other manufacturing documentation, • Generating manufacturing risk assessments, such as FMEA, • Perform data analysis to reach actionable conclusions, for example:, • Compile and analyze experimental data, • Present experimental data internally and externally to clients, • Supervise direct reports.REQUIREMENTS, • Bachelor's degree in relevant life science or engineering discipline, • Minimum of 3 years' experience in aseptic cell processing, cell culture and cell analytics under the guidance of scientific protocols, • Demonstrated ability to deliver projects to specific timelines and budgets, • Experience in working effectively and delegating tasks in a team-based environment, • Demonstrated ability in technical writing and the preparation of, protocols and reports, presentations and/or other communications, • Basic understanding of the technical principles, theories and concepts of cell therapy or similar products, • Aseptic processing, Good Manufacturing Practice (GMP), communication skills, specific process and analytical equipment, • This job may require occasional evening and weekend work.

Job Description Job Title: Food Scientist Dough Rheology Location: Northern, NJ, Onsite Job Type: Direct Hire Compensation: $110,000–$125,000 Shift: 8:30am-5pm (some flexibility) Position Overview We are seeking an experienced R&D Food Scientist to support the development, optimization, and commercialization of bakery products and ingredient systems. This role will focus on improving product quality, consistency, shelf life, and manufacturing efficiency while collaborating with cross-functional teams across R&D, Operations, Quality, Regulatory, and Procurement. The ideal candidate will have a strong background in bakery science, ingredient functionality, product development, and process optimization within the food manufacturing or CPG industry. Requirements • Bachelor's degree in Food Science, Baking Science, Food Technology, Food Engineering, or a related field., • 3–5+ years of experience in food product development, food science, or bakery ingredient manufacturing within the food ingredients, baking ingredients, or Consumer Packaged Goods (CPG) industries., • Strong knowledge of bakery ingredient functionality, including flour systems, gluten development, enzymes, emulsifiers, sweeteners, and natural additives., • Hands-on experience with bakery processing operations, including mixing, fermentation, proofing, baking, and cooling., • Experience with product scale-up, commercialization, and plant trials., • Knowledge of dough rheology, texture analysis, and shelf-life optimization., • Experience troubleshooting bakery production issues and improving product consistency., • Hands-on knowledge of food safety standards, GMPs, HACCP, and regulatory requirements., • Strong analytical and problem-solving abilities with a data-driven approach., • Proficiency with Excel, Minitab, or other data analysis tools., • Excellent communication and cross-functional collaboration skills., • Ability to manage multiple priorities and projects simultaneously., • Strong attention to detail with a focus on quality, performance, and continuous improvement. Preferred • Master's degree in Food Science, Baking Science, Food Technology, Food Engineering, or a related discipline., • Experience with clean-label formulation and ingredient replacement strategies., • Experience working with bakery ingredient systems, premixes, or bases. Key Responsibilities • Analyze existing bakery formulations and manufacturing processes to identify opportunities for improvements in quality, consistency, shelf life, and cost efficiency., • Develop and optimize bakery products, including breads, cakes, cookies, pastries, tortillas, and related products through formulation, ingredient selection, and process improvements., • Support scale-up and commercialization efforts from bench-top development through pilot and full-scale production., • Partner with Operations to troubleshoot production challenges, including dry mix handling, functional performance issues, color defects, and product variability., • Collaborate with R&D, Quality, Regulatory, Operations, and Procurement teams to ensure products meet sensory, regulatory, operational, and cost requirements., • Evaluate the functionality of ingredients such as flours, starches, enzymes, emulsifiers, hydrocolloids, leavening systems, colors, sweeteners, and natural additives., • Design and execute experiments to improve texture, flavor, shelf life, and overall product performance., • Develop and maintain product specifications, batch sheets, SOPs, and processing parameters., • Support sensory evaluations, shelf-life studies, stability testing, and validation of bakery ingredient systems and bases., • Lead or support continuous improvement initiatives using data-driven methodologies to enhance product quality and manufacturing efficiency., • Drive ingredient cost optimization and reformulation projects while maintaining product integrity., • Assist with supplier qualification and validation of new raw materials., • Train Production and Quality teams on new formulations, processes, and best practices., • Maintain accurate documentation to support product development, validation, audits, and regulatory compliance., • Ensure adherence to GMPs, HACCP programs, OSHA requirements, and company quality standards., • Manage multiple development and process improvement projects in a fast-paced manufacturing environment., • Perform all duties in accordance with company safety policies and procedures., • Comments: Occasional later or weekend shifts to accomodate production runs. Keyskills: • Bakery / Food R&D: Food Science • Bakery Science • Cereal Chemistry • R&D • Product Development • Formulation Development • New Product Development (NPD) • Product Innovation, • Dough & process science: Dough Rheology • Flour Functionality • Flour Systems • Gluten Development • Dough Strength & Extensibility • Mixing • Fermentation • Proofing • Baking, • Ingredients & formulation: Bakery Ingredients • Food Ingredients • Enzymes • Emulsifiers • Hydrocolloids • Leavening Systems • Clean Label • Reformulation, • Scale-up / manufacturing / improvement: Commercialization • Scale-Up • Plant Trials • Process Improvement • Process Optimization • Production Optimization • Manufacturing Operations • Manufacturing Efficiency • Process Validation • Premix & Base Systems • Bakery Ingredient Systems, • Quality / safety / compliance: Quality Assurance • Food Safety • HACCP • GMP • Regulatory Compliance • SOPs • Supplier Qualification, • Problem-solving & analytics: Troubleshooting • Root Cause Analysis • Data Analysis • Excel • Minitab • Sensory Evaluation • Cross-Functional Collaboration • Technical Leadership, • Instrumentation:Farinograph • Mixograph • Alveograph • Extensograph • Rheometer • RVA • Amylograph • Texture Analyzer • Water Activity System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M3- #LI- Ref: #558-Scientific

Job Description Job Title: R&D Food Scientist Location: Paterson, NJ, Onsite Job Type: Direct Hire Compensation: $110,000–$125,000 Shift: 8:30am-5pm (some flexibility) Position Overview We are seeking an experienced R&D Food Scientist to support the development, optimization, and commercialization of bakery products and ingredient systems. This role will focus on improving product quality, consistency, shelf life, and manufacturing efficiency while collaborating with cross-functional teams across R&D, Operations, Quality, Regulatory, and Procurement. The ideal candidate will have a strong background in bakery science, ingredient functionality, product development, and process optimization within the food manufacturing or CPG industry. Requirements • Bachelor's degree in Food Science, Baking Science, Food Technology, Food Engineering, or a related field., • 3–5+ years of experience in food product development, food science, or bakery ingredient manufacturing within the food ingredients, baking ingredients, or Consumer Packaged Goods (CPG) industries., • Strong knowledge of bakery ingredient functionality, including flour systems, gluten development, enzymes, emulsifiers, sweeteners, and natural additives., • Hands-on experience with bakery processing operations, including mixing, fermentation, proofing, baking, and cooling., • Experience with product scale-up, commercialization, and plant trials., • Knowledge of dough rheology, texture analysis, and shelf-life optimization., • Experience troubleshooting bakery production issues and improving product consistency., • Hands-on knowledge of food safety standards, GMPs, HACCP, and regulatory requirements., • Strong analytical and problem-solving abilities with a data-driven approach., • Proficiency with Excel, Minitab, or other data analysis tools., • Excellent communication and cross-functional collaboration skills., • Ability to manage multiple priorities and projects simultaneously., • Strong attention to detail with a focus on quality, performance, and continuous improvement. Preferred • Master's degree in Food Science, Baking Science, Food Technology, Food Engineering, or a related discipline., • Experience with clean-label formulation and ingredient replacement strategies., • Experience working with bakery ingredient systems, premixes, or bases. Key Responsibilities • Analyze existing bakery formulations and manufacturing processes to identify opportunities for improvements in quality, consistency, shelf life, and cost efficiency., • Develop and optimize bakery products, including breads, cakes, cookies, pastries, tortillas, and related products through formulation, ingredient selection, and process improvements., • Support scale-up and commercialization efforts from bench-top development through pilot and full-scale production., • Partner with Operations to troubleshoot production challenges, including dry mix handling, functional performance issues, color defects, and product variability., • Collaborate with R&D, Quality, Regulatory, Operations, and Procurement teams to ensure products meet sensory, regulatory, operational, and cost requirements., • Evaluate the functionality of ingredients such as flours, starches, enzymes, emulsifiers, hydrocolloids, leavening systems, colors, sweeteners, and natural additives., • Design and execute experiments to improve texture, flavor, shelf life, and overall product performance., • Develop and maintain product specifications, batch sheets, SOPs, and processing parameters., • Support sensory evaluations, shelf-life studies, stability testing, and validation of bakery ingredient systems and bases., • Lead or support continuous improvement initiatives using data-driven methodologies to enhance product quality and manufacturing efficiency., • Drive ingredient cost optimization and reformulation projects while maintaining product integrity., • Assist with supplier qualification and validation of new raw materials., • Train Production and Quality teams on new formulations, processes, and best practices., • Maintain accurate documentation to support product development, validation, audits, and regulatory compliance., • Ensure adherence to GMPs, HACCP programs, OSHA requirements, and company quality standards., • Manage multiple development and process improvement projects in a fast-paced manufacturing environment., • Perform all duties in accordance with company safety policies and procedures., • Comments: Occasional later or weekend shifts to accomodate production runs. Keyskills: Food Science • Bakery Science • R&D • Product Development • Bakery Ingredients • Formulation Development • Commercialization • Scale-Up • Process Improvement • Dough Rheology • Shelf-Life Optimization • Ingredient Functionality • Flour Systems • Enzymes • Emulsifiers • Clean Label • Reformulation • Cost Optimization • Sensory Evaluation • Bakery Manufacturing • Mixing • Fermentation • Proofing • Baking • Quality Assurance • Food Safety • HACCP • GMP • Regulatory Compliance • Troubleshooting • Root Cause Analysis • Data Analysis • Excel • Minitab • Product Innovation • New Product Development (NPD) • Food Ingredients • CPG • Process Validation • Manufacturing Efficiency • SOPs • Supplier Qualification • Food Engineering • Production Optimization • Cross-Functional Collaboration • Technical Leadership • Manufacturing Operations. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M3- #LI- Ref: #558-Scientific

Senior Computational Scientist – Statistical Genomics & Inference New York, NY · Onsite · Full-Time The Company Our client is an early-stage, venture-backed genomics company in the healthcare space. They turn sequencing data into answers people can act on. The product is in commercial use, the team is small and highly technical, and the science sits at the center of the business. The Opportunity This is the lead computational seat. You’ll own the statistical modelling and inference engine behind the product and set technical direction from day one. AI-assisted coding tools are part of how the team works. For a strong performer, the role grows into leading the computational function and building a team. What You’ll Do • Develop and apply phylogenetic and phylodynamic models (time-scaled trees, coalescent and birth–death frameworks, ancestral state reconstruction) for microbial genomic data, • Build probabilistic methods that infer relationships between samples when data is sparse or incomplete, • Lead strain-level analysis of complex, mixed microbial samples, • Own and harden the bioinformatics pipelines, from QC through comparative genomics, • Mature the AWS environment (infrastructure-as-code, CI/CD, cost control) and support healthcare data-security standards, • Turn model outputs into clear, interactive reporting, • Publish your methods with the company’s academic and public-sector collaborators What You Bring • PhD in population genetics, molecular evolution, biostatistics, computational biology, or a related quantitative field, • Deep grounding in likelihood and Bayesian inference, MCMC, continuous-time Markov models, coalescent/birth–death processes, and model selection, • Hands-on experience with BEAST, IQ-TREE, or equivalent phylogenetics tools, • Machine learning fluency, including simulation-based inference; graph/network models a plus, • Production AWS, Linux, and Git; Nextflow and Terraform preferred, • Experience using agentic/AI coding tools, and the judgment to critically review their output Must be authorized to work in the US without sponsorship.

Job Description Role Summary We are looking for a talented and highly motivated contract Lab Operations Associate Scientist/Scientist I to join the Lexeo Team in NYC to support the operations within our gene therapy laboratory. You will be expected to support the daily operations of the laboratory, ensuring that workflows run smoothly, safely, and efficiently. This role reports to the Lab Manager to oversee equipment, procure supplies, manage shipments, and ensure compliance with safety standards. The ideal candidate is organized, detail-oriented, and comfortable balancing administrative responsibilities with hands‑on lab support. The nature of the role will require in-person work 5 days per week. Primary Responsibilities • Assist in managing day‑to‑day lab operations, including inventory management, consumables ordering, managing a stock room, and equipment maintenance, • Maintain digital inventory of supplies, reagents, and equipment. Place orders and track deliveries, • Oversee equipment maintenance, calibration, and service records to ensure operational readiness, • Support onboarding and continuous training of laboratory staff on lab procedures and safety protocols, • Monitor the environmental elements of the laboratory with safety regulations, institutional policies, and quality standards, • Help develop and update standard operating procedures (SOPs) and documentation, • Coordinate shipping samples, supplies, and reagents to/from a biorepository, CDMOs, and the Lexeo lab, • Coordinate waste disposal, chemical storage, and safety inspections, • Serve as a point of contact for vendors, facilities, and service technicians, • Actively collaborate and communicate cross-functionally within Lexeo. The successful candidate will embrace this challenging role with enthusiasm, demonstrate the ability to work within a team, and maintain professionalism while getting things done quickly and efficiently. Attention to detail is expected. The ability to juggle many task at the same time meticulous and detail-oriented approach is crucial for maintaining accuracy. Required Skills and Qualifications, • Bachelor’s or Master's degree in a scientific discipline (e.g Biology, Chemistry, Biotechnology), • 5 years of relevant experience in lab operations (in industry or in combination with academia) with a deep understanding of lab safety, • Hands-on experience in a pharmaceutical/biotech environment; knowledge of gene therapy basis a plus, • Strong organizational skills with attention to detail and accuracy, • Ability to manage multiple priorities and meet deadlines in a fast-paced environment, • Excellent communication and coordination skills, • Familiarity with Benchling or Quartzy is beneficial, • Ability to regularly work onsite 5 days per week plus occasional adhoc hours outside of standard business hours when emergencies arise About Lexeo Lexeo Therapeutics is a clinical-stage genetic medicine company headquartered in New York City, pioneering cardiac genetic medicine candidates to treat the root causes of inherited cardiovascular diseases. Our lead program, LX2006, targets cardiomyopathy associated with Friedreich’s Ataxia and anchors a broader pipeline addressing genetically defined conditions such as hypertrophic and arrhythmogenic cardiomyopathies. Backed by a strong financial foundation, Lexeo is positioned to translate groundbreaking science into durable clinical impact. Lexeo Therapeutics is an EEO employer committed to an exciting, diverse, and enriching work environment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Us Dealer Owned Warranty Company LLC is a leading provider of F&I (Finance and Insurance) partnership services in the automotive industry, offering a full suite of obligor and administrator services, top-of-the-line products, technology, and training. We understand the importance of leveraging process and technology in the F&I industry to drive revenue and ensure success. Our goal is to provide visibility, transparency, and the tools needed for our partners to build their wealth and achieve their goals. We are located in Parsippany, NJ - only seeking local candidates at this time. Job Summary: The Senior Data Scientist (Actuarial) is a senior, highly experienced individual contributor responsible for designing, building, deploying, and maintaining advanced analytics and machine learning solutions that drive business performance across the organization. This role is embedded within the business and focuses on applied data science—not academic or exploratory research. The Senior Data Scientist partners closely with stakeholders across Underwriting, Claims, Finance, Operations, and Dealer Services to translate complex business problems into scalable, explainable, and production-ready analytical solutions. This role exercises independent judgment, technical leadership, and business acumen to improve profitability, reduce risk, and enhance operational efficiency across the full product lifecycle. Duties/Responsibilities: • Own end-to-end data science initiatives, including problem definition, data exploration, feature engineering, model development, validation, deployment, and ongoing monitoring., • Partner with Finance, Claims, Operations, Underwriting, and Dealer teams to translate business objectives into analytical solutions and decision frameworks., • Build and deploy production-grade models, including but not limited to risk scoring, fraud detection, forecasting, segmentation, and optimization models., • Develop models to improve claims outcomes, loss ratios, and fraud detection while balancing accuracy, interpretability, and operational usability., • Create financial forecasting, scenario analysis, and planning models used by leadership for performance management and strategic decision-making., • Analyze and segment dealer performance to support profitability analysis and partner strategy., • Improve data quality and reliability by developing solutions for data validation, anomaly detection, and entity resolution., • Design and evaluate experiments, including A/B testing and causal analysis, to measure business impact and inform decision-making., • Define, operationalize, and monitor key business and model performance metrics in collaboration with Business Intelligence (e.g., Microsoft Power BI)., • Ensure models are scalable, well-documented, explainable, and monitored for performance degradation, bias, and drift., • Collaborate closely with Data Engineering to integrate models into data pipelines and production systems using tools such as Snowflake, Python, Airflow, and dbt., • Mentor and support junior data science team members and contribute to data science standards, best practices, and documentation., • Ensure the responsible, secure and compliant use of data and outputs in accordance with company standards, privacy requirements and regulatory obligations., • Perform additional duties as assigned to support data and organizational objectives. Required Skills/Abilities: • Advanced proficiency in Python for data analysis and machine learning; pandas, scikit-learn, PyTorch or TensorFlow a plus., • Advanced SQL skills with a strong understanding of relational data modeling and querying large datasets., • Experience deploying models into production environments, • Strong working knowledge of statistical modeling, machine learning, and analytical techniques, including: Experimentation and causal inference, Predictive modeling (classification and regression), Time-series forecasting, Anomaly detection, • Solid understanding of data pipelines, ETL/ELT processes, and modern data architectures., • Experience working with modern data stacks and cloud-based data warehouses (e.g., Snowflake, dbt, Airflow)., • Strong analytical, critical-thinking, and problem-solving skills., • Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders., • Ability to work independently, manage multiple priorities, and exercise sound judgment in a fast paced environment. Education and Experience: • Bachelor’s degree in Data Science, Actuarial Science, Statistics, Mathematics, or Engineering or related field required; Master’s degree preferred., • Actuarial credentials or passed actuary exams., • 10+ years of experience in data science, applied machine learning, or advanced analytics, with demonstrated experience delivering business-impacting solutions., • Prior experience partnering directly with business stakeholders required., • Experience in financial services, insurance, underwriting, claims, or risk-related domains preferred. Come join our growing team here in Parsippany! As NJ's Best Places to Work Honoree for four years in a row, we offer: • Competitive compensation, • PTO and Sick Time, • Medical, Dental, Vision, 401k matching, Life Insurance, Ancillary Benefits, • Full-service cafeteria on-site serving breakfast & lunch from an exclusive private chef., • Corporate events, team and culture building activities, employee awards and recognition, company trips and more! DOWC (and its affiliated brands) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact us for assistance.

Job DescriptionRole Title: Junior Data Scientist Role Type: Contractor Location: Remote We are seeking Junior Data Scientists and quantitative professionals to evaluate AI performance in statistics, machine learning, experimentation, and quantitative reasoning. You'll help improve AI models through expert-level problem-solving and technical feedback. Key Responsibilities • Evaluate AI-generated responses to data science, statistics, machine learning, and quantitative problems., • Create expert-level prompts, datasets, and reference solutions., • Identify methodological flaws, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance.Required Qualifications, • At least 1 year of experience at a leading technology, finance, or research company, with some experience gained within the past 3 years., • Based in an English-speaking country., • Strong written communication skills and the ability to explain technical and statistical concepts clearly.

Job DescriptionBiology Research Scientist Job Type: Contractor Location: Remote Hours: 10–20 hours/week Duration: 1–2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced Biology Research Scientists to support a project focused on validating protein target assignments against primary scientific sources and UniProt records. You will review research papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based scientific reasoning. Key Responsibilities • Review primary research papers and patents to verify protein target assignments., • Compare target assignments against UniProt and identify discrepancies., • Classify target assignment errors using a structured taxonomy., • Propose accurate UniProt accessions where assignments are incorrect., • Document clear, concise, evidence-grounded reasoning for each determination., • Apply expertise in pharmacology, biochemistry, molecular biology, or chemical biology to evaluate target relationships.Required Skills, • Protein Target Identification, • UniProt, • Primary Literature Review, • Protein Biochemistry, • Molecular Biology, • Pharmacology, • Binding & Functional Assays, • Scientific Data Interpretation, • Evidence-Based Reasoning, • Technical DocumentationQualifications, • BA/BS + 5 years, MS + 2 years, or PhD with relevant industry/drug discovery experience., • Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharma, or CRO environments., • Hands-on experience with assays such as SPR, TR-FRET, radioligand binding, kinase assays, or GPCR functional assays., • Experience interpreting IC50, Ki, and Kd data., • Currently active in a bench-based research, scientist, or associate scientist role., • Working knowledge of UniProt or related workflows such as SAR, HTS, target validation, biochemical profiling, or IND-enabling studies.Nice to Have, • Experience with ChEMBL, BindingDB, or PubChem., • Selectivity profiling or counterscreening experience., • Understanding of agonist/antagonist vs. activator/inhibitor distinctions.Screening Questions, • What is your highest relevant degree and how many years of industry research experience do you have?, • What is your experience with protein target identification and UniProt?, • Which binding or functional assays have you performed hands-on?, • Do you have experience interpreting IC50, Ki, or Kd data?, • Have you worked with ChEMBL, BindingDB, or PubChem?, • Are you currently bench-active in a research or scientist role?, • Are you available for 10–20 hours per week with an immediate start?

Job DescriptionAbout Us Health is the most important thing in life, and the American healthcare system is completely broken - poor outcomes, high cost, bad patient experience. We're building a new system from the ground up. Our mission is to improve people's health by making it easy to live a healthy lifestyle. Nourish is the country's largest dietitian-led metabolic health clinic. We're an AI-native digital health system matching patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, we've completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems. In 2026 we raised a $100M Series C, bringing total funding to $215M. The round was led by Menlo Ventures, with participation from Thrive Capital, Index Ventures, J.P. Morgan Growth Equity Partners, Maverick Ventures, Y Combinator, BoxGroup, Atomico, Daybreak, and Operator Partners. Learn more about our Series C here: Nourish Blog, Bloomberg, Fierce Healthcare, Digital Native, The Pulse Podcast. This is not a job for everyone. We hold an extremely high bar because we believe talent density is our biggest competitive advantage. We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego. Our work is important, but we are not self-important. We do this because we're solving one of the hardest problems in the world, and the problem matters. If that's you, we disproportionately reward it. About the Role Can nutrition care meaningfully improve health outcomes while reducing healthcare costs? This question is critical to Nourish's mission and our ability to bring care to millions more patients. As our Actuarial Data Scientist, you'll lead the effort to quantify the economic impact of Nourish care. You'll design rigorous claims-based studies, develop actuarial models, and translate your findings into compelling evidence that demonstrates the value of Nourish to existing and prospective payer partners. You'll be our first dedicated actuarial data science hire, with the opportunity to shape how we measure, validate, and communicate our impact. Your work will directly influence our payer partnerships, commercial strategy, and understanding of where our care creates the most value. This is a hands-on role, working closely with our Commercial and Clinical teams, partnering with Analytics Engineering, and reporting to our Head of Data. Our data team is based in NYC and works from the office 3+ days a week, so we're looking for people who are excited to join us onsite and be part of that culture. Key Responsibilities • Lead Nourish's payer value studies: Design and execute rigorous claims-based analyses to quantify the impact of Nourish care on medical and pharmacy spending, healthcare utilization, and total cost of care., • Develop credible causal impact estimates: Apply appropriate study designs, matched comparison groups, risk adjustment, and causal inference methods to isolate the incremental impact of Nourish care., • Model financial impact for prospective partners: Build actuarial models to estimate potential cost savings, PMPM impact, and ROI for specific health plan populations., • Translate evidence into compelling narratives: Produce clear study reports and executive summaries for health plan partners. Work alongside our Commercial team to communicate findings, explain methodologies and limitations, and address actuarial and clinical questions., • Identify where Nourish generates the greatest savings: Analyze which patient populations, conditions, and healthcare cost drivers offer the greatest potential for savings, and translate findings into actionable recommendations for our Commercial and Clinical teams., • Build a scalable analytical foundation: Partner with Analytics Engineering to develop reusable datasets, standardized methodologies, and repeatable analytical workflows that enable rigorous, efficient evaluations across payer populations.We'd Love to Hear From You If You..., • Have 5+ years of healthcare actuarial or medical economics experience: You've worked at a health plan, actuarial consultancy, employee benefits consultancy, or digital health company, and have deep experience analyzing healthcare costs and utilization., • Know healthcare claims data inside out: You're fluent in medical and pharmacy claims, eligibility data, and coding (ICD-10, CPT, HCPCS, NDC). You understand PMPM, cost trends, claims completion, risk adjustment, and the nuances that can make or break a healthcare savings analysis. Progress toward or completion of ASA or FSA is a plus., • Have designed or conducted claims-based evaluations of care programs, healthcare vendors, or clinical interventions. You understand what it takes to build a credible savings case, ideally having evaluated programs from the payer's perspective., • Bring rigorous statistical and causal inference skills: You're comfortable with observational study design, matched comparison groups, risk adjustment, and methods for addressing selection bias and confounding., • Are a hands-on, technically strong analyst: You write clean, performant SQL and are proficient in Python or R. You enjoy working directly with complex datasets and can independently drive an analysis from raw data through to actionable findings., • Can translate complex actuarial analyses into clear, persuasive narratives for technical and non-technical audiences. You can confidently defend your methodology, explain limitations, and address tough questions from health plan actuaries., • Thrive in an entrepreneurial, cross-functional environment: You're comfortable with ambiguity, take ownership from problem definition to delivery, and enjoy building new capabilities from the ground up., • Are motivated by impact and mission: You believe in the power of food as medicine to transform healthcare and are excited to improve lives at scale by contributing to Nourish's missionMore Information The Nourish Bar Our Values Why Nourish Exists How We Work Comp Philosophy Benefits

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • Contribute to improving data science practices, tooling, and documentation Requirements: • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members, • Experience deploying or supporting models in production environments This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biology Research Scientist (BA, MS, PhD's) Type: Contract Compensation: $60–$100/hour Location: Remote Duration: 1–2 month minimum, extension likely Commitment: 10–20 hours/week Role Responsibilities • Access primary sources such as papers and patents to verify protein target assignments against UniProt records., • Flag and classify target assignment errors using a structured taxonomy to improve data accuracy., • Propose correct UniProt accessions where assignments are incorrect to enhance database reliability., • Write concise, evidence-grounded notes explaining your reasoning to support AI drug discovery pipelines., • Work independently and asynchronously to meet deadlines and ensure data integrity. Qualifications Must-Have • BA/BS with 5+ years, MS with 2+ years, or PhD with industry or drug discovery research experience in pharmacology, biochemistry, molecular biology, or chemical biology at a biotech, pharma, or CRO., • Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD)., • Currently bench-active in a research, scientist, or associate scientist role., • Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies. Preferred • Direct experience with ChEMBL, BindingDB, or PubChem., • Selectivity profiling or counterscreening experience., • Familiarity with agonist/antagonist vs. activator/inhibitor distinctions. Start Date • Immediate start Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with a wide variety of stakeholders (Product, Eng, Ops, Finance, Strategy, Clinical, etc.) to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making, • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission, • Build and establish models, methods, and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams, • Leverage AI to uplevel your skills and everyone around you, • Leverage Bayesian and Frequentist statistical approaches to guide decision-making, • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor, • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking, • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives, • Serve as a tech lead for the Data Science org with strong mentorship of peers and are seen as the go-to expert on Data Science and can help shape the vision of the team Requirements • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with a wide variety of stakeholders (Product, Eng, Ops, Finance, Strategy, Clinical, etc.) to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making, • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission, • Build and establish models, methods, and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams, • Leverage AI to uplevel your skills and everyone around you, • Leverage Bayesian and Frequentist statistical approaches to guide decision-making, • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor, • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking, • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives, • Serve as a tech lead for the Data Science org with strong mentorship of peers and are seen as the go-to expert on Data Science and can help shape the vision of the team Requirements • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Data Scientist, Growth Marketing to join our growing data team. In this role, you will serve as the primary quantitative partner to our Growth Marketing leadership, turning massive real-world transactional and behavioral datasets into engines for user acquisition, retention, and gross profit expansion. You bring a deep background in marketing measurement and causal inference, with proven experience building multi-touch attribution systems, modeling customer lifetime value (LTV), and designing rigorous marketing experiments. You excel not only at building complex predictive models, but also at translating high-level data insights into clear business strategies for cross-functional stakeholders across Growth, Product, and Finance. What you'll do • Design, deploy, and refine predictive models for Multi-Touch Attribution (MTA), Customer Lifetime Value (CLV), and Customer Acquisition Cost (CAC) efficiency to guide multi-channel marketing budget allocation, • Conduct deep-dive cohort analyses and retention modeling to uncover drivers of user conversion, repeat behavior, and churn across our location-based growth funnel, • Lead the growth experimentation roadmap by designing, executing, and analyzing A/B tests, geo-experiments, holdout tests, and incrementality studies across digital and physical acquisition channels, • Partner directly with Growth Marketing and Finance leaders to optimize unit economics, justify marketing spend against gross profit targets, and set channel-level growth goals, • Collaborate with analytics and data engineering teams to establish event tracking requirements, build scalable growth data pipelines, and develop automated executive dashboards, • Utilize advanced AI tools and modern analytics frameworks to transform static analytical workflows into responsive, high-output processesWhat we're looking for, • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field, • 6+ years of proven experience as a Data Scientist or Analytics Lead, with a distinct focus on growth marketing, performance media, or adtech, • Advanced proficiency in Python and SQL for complex data manipulation, statistical modeling, and predictive analytics, • Deep domain expertise in growth measurement frameworks, multi-touch attribution, cohort retention modeling, and LTV/CAC dynamics, • Hands-on experience with statistical experimentation and causal inference techniques such as A/B testing, geo-testing, synthetic controls, and media mix modeling, • Strong business acumen with a track record of partnering with senior executives in Growth, Product, and Finance to drive measurable bottom-line growth, • Excellent analytical, problem-solving, and communication skills to make complex data stories intuitive and actionable, • Experience leveraging AI tools to transform static workflows into responsive, high-output processesWhile not required, these are a plus:, • Experience with cloud platforms, including AWS S3, SageMaker, and Airflow, • Experience with cloud data warehouses and modern data tools such as Snowflake, dbt, Looker, and Tableau, • Familiarity with Media Mix Modeling (MMM) frameworks including Robyn and LightweightMMM, • Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch applied to user segmentation or churn prediction, • Ability to write clean, efficient, robust, and well-commented code to produce high-quality data science procedures 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection. When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000 USD to $230,000 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-RR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.

Job Description Career Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity. We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stack Spark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

About Octozi Octozi is an agentic AI clinical intelligence platform that automates clinical data workflows for pharmaceutical sponsors. We ingest data from EDC, safety, labs, and other clinical systems, then apply AI to streamline data cleaning, discrepancy detection, medical review, safety reconciliation, coding, and reporting. Our customers run real trials on Octozi today, and we're building the next generation of AI-driven medical and safety review alongside them. The role We're hiring a Clinical Scientist with deep oncology experience to sit at the center of our product, our AI, and our customers. This is not a back-office science role. You'll shape what we build, validate that our AI gets the clinical details right, and make sure the sponsors using Octozi get real value from it. You will: • Partner with customer clinical, medical review, and safety teams to understand their workflows and identify where AI can remove manual burden, • Work with our engineering and product teams to design clinically sound AI checks, review logic, and analytical views, and translate customer needs into product requirements, • Dive deep into our AI models and automated checks to verify clinical correctness, pressure-test edge cases, and drive validation against real study data, • Lead customer training, onboarding, and ongoing scientific touchpoints so teams adopt Octozi confidently and fully, • Collaborate with external clinical partners, advisors, and investigators on validation work and joint initiatives, • Collaborate on and contribute to publications in scientific and clinical journals, • Represent Octozi externally through conference talks, webinars, and industry working groups, building our voice in AI-enabled clinical development Qualifications • Master's, PhD, or MD, • Experience in oncology clinical development, with hands-on work in medical data review, safety review, or clinical data interpretation, • Fluency with clinical trial data: labs, adverse events, concomitant meds, tumor assessments (RECIST), and the realities of messy EDC data, • Comfort working directly with customers: you can run a training session, lead a scientific discussion, and turn feedback into product direction, • Genuine curiosity about AI. You don't need to code, but you need to want to understand how the models work and where they fail, • Strong written and verbal communication; willingness to publish and speak on behalf of Octozi, • Startup temperament: comfortable with ambiguity, ownership, and wearing multiple hats Nice to have • Experience at a sponsor in data management, medical monitoring, or pharmacovigilance, • Prior work with AI/ML tools in a clinical setting Why join You'll be an early scientific voice at a fast-growing company defining how AI can redefine clinical development. Your judgment will directly shape the product, and your name will be on the work. Compensation and benefits $160,000 to $240,000 base salary, plus equity, healthcare, vision, and dental benefits.

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Scientist for a CONTRACT assignment with one of our premier Regulatory clients in the DMV or NY/NJ area. The Business Analyst conducts moderate-to-high complexity analysis of automated surveillance systems that detect potential violations of regulatory rules. This role is responsible for understanding, validating, enhancing, and supporting surveillance patterns across multiple asset classes and regulatory domains. Responsibilities : The analyst serves as the bridge between regulatory requirements and the technical implementation of surveillance logic, ensuring that patterns produce accurate, complete, and defensible results. In this role, you will: • Translate highly technical concepts into clear, layman's terms for non-technical stakeholders., • Prototype solutions to complex business problems iteratively., • Manage the implementation of prototyped solutions into production., • Serve as the domain expert who ensures the regulatory accuracy and completeness of all outputs. Required Skills : • Bachelor's degree with 5+ years of experience, or an advanced degree with 2+ years of experience., • Proficiency in data mining, mathematics, and statistical analysis., • Proficiency in SQL for large-scale data analysis on distributed platforms., • Proficiency in at least one scripting/programming language (e.g., Python) for data analysis, automation, and tool development., • Experience leveraging ML algorithms to mine large datasets and solve business problems., • Strong analytical skills, with the ability to independently investigate data discrepancies and validate system outputs., • Experience reading and interpreting complex data processing pipelines and business logic in source code., • Advanced proficiency in spreadsheet tools for business and operational analysis., • Excellent documentation skills, with the ability to translate complex technical implementations into clear business-facing knowledge documents and Business Requirement Documents (BRDs)., • Experience visualizing data to present findings., • Strong communication skills. Preferred Skills : • Major in Business Administration, Finance, Computer Science, or a related field; advanced degree preferred., • Knowledge of SEC/FINRA regulatory rules and reporting requirements, or a strong interest in learning about US financial market structure and the evolving regulatory landscape., • Experience leveraging generative AI (LLMs, AI coding assistants) and validating AI-generated output to accelerate data analysis, prototyping, code comprehension, and documentation., • Experience with distributed query engines and big data platforms. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at info@sgainc.com to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at _ . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company _ to request an accommodation or assistance regarding our policy.

Job Description Matrix New World Engineering, a part of True Environmental and its partner firms, have united their strengths to establish the nation's premier environmental and engineering services consulting firm. This powerhouse organization offers an extensive range of services aimed at revolutionizing the built environment and preserving the natural one. Its diverse expertise encompasses environmental remediation, urban planning, engineering iconic coastal and marine structures, developing sustainable energy sources, and pioneering resource extraction methods. Explore further at www.MWNE.com and True-Environmental.com to discover the full scope of our capabilities. True Environmental is seeking a Wetland Scientist to join our Natural Resources team, supporting wetland delineation, environmental permitting, and regulatory compliance projects across New Jersey and New York. What you'll do • Conduct wetland delineations and boundary flagging per U.S. Army Corps of Engineers (USACE) and state methodologies, • Prepare permit applications and supporting documentation for New Jersey Department of Environmental Protection (NJDEP) (Freshwater Wetlands, Coastal Area Facility Review Act (CAFRA), Waterfront Development) and New York State Department of Environmental Conservation (NYSDEC) programs (tidal wetlands, protection of waters programs), • Conduct field investigations: soil sampling, hydrology assessments, vegetation surveys, • Support threatened & endangered species habitat assessments, • Prepare technical reports, exhibits, and agency correspondence, • Coordinate with regulatory agencies (USACE, NJDEP, NYSDEC, Environmental Protection Agency) on permit status and inquiries, • Support GIS mapping and data management for wetland/natural resource projects, • Assist senior scientists and project managers with multi-disciplinary project deliveryMinimum Qualifications, • Bachelor's or Master's degree in Environmental Science, Biology, Ecology, or related field, • 2–10 years of relevant experience, • Working toward or holds Professional Wetland Scientist (PWS) certification, • Familiarity with the USACE wetland delineation manual, regional supplements and State manuals, • Proficiency with Global Positioning System (GPS) /Geographic Information Systems (GIS) field tools field tools (e.g., Trimble, ArcGIS Field Maps) a plus, • Valid driver's license; ability to conduct fieldwork in varied outdoor conditions, • Strong technical writing and communication skillsPreferred Qualifications, • Wetland Professional in Training (WPIT) status, • Experience with NJ and/or NY environmental permitting strongly preferred All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife — improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn more at mavenclinic.com An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • TIME 100 Most Influential Companies (2023, 2026), • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • Fast Company Most Innovative Companies (2020, 2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024)About the role This isn't a vertical-specific role. Maven is looking for an experienced decision scientist who works across the seams—connecting clinical product, member experience, and our AI and healthcare initiatives into one coherent story. You'll tie the narrative together: building cross-functional reporting that gives every team a shared view of what's working and why, and partnering on the data architecture that makes the whole team faster. Instead of owning one surface, you'll work the connective tissue between them—surfacing insights that only appear when you look across the entire experience. You're equally at home in the details of measurement and in the big-picture framing that turns data into direction. You know the highest-leverage work often isn't answering one question well—it's building the systems and shared language that let everyone answer their own questions better. As a Senior Decision Scientist, you will: • Own our key cross-functional reports end to end—understanding not just how they're built but why each metric matters and how the teams that depend on them make decisions, • Consolidate fragmented reporting into a coherent, shared view across clinical product, member experience, and our AI and healthcare work, so every team operates from the same source of truth, • Surface the insights that only become visible when you look across surfaces rather than within a single one, and translate them into clear direction for stakeholders, • Partner on the design of scalable data architecture (primarily using SQL and Python), reducing one-off requests and letting every team answer its own questions faster, • Define success metrics with partners across Product, Engineering, and Operations, and pair rigorous measurement with big-picture framing, • Establish the shared language, standards, and best practices that make the whole team faster and sharper—mentoring other analysts along the wayMinimum Qualifications:, • 5+ years of relevant analytics or data science experience, with a track record of cross-functional or cross-surface work, • Fluency in SQL, DBT, and a strong background in data visualization, • Proficiency with at least one BI tool (Tableau, Looker), • Hands-on experience with Python or R, • Demonstrated ability to design scalable data structures and reporting from both internal and 3rd party sources, • An ability to juggle long-term, strategic projects alongside ad hoc, urgent requests, • Excellent collaboration and communication skills, with a proven ability to turn data into direction for cross-functional stakeholdersPreferred Qualifications:, • Experience working with event-based data, • Knowledge of experimentation and/or statistical modeling, • Experience building shared measurement frameworks or semantic/metrics layers used across multiple teams The base salary range for this role is $174,000 - $205,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. This role requires active work authorization in the US. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens, • 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: security@mavenclinic.com. For general and additional inquiries, please contact us at careers@mavenclinic.com.

Job DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company. This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Lead a team of 4-6 — hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar across Applied Science, • Own the Population Health team and their outputs as a core responsibility, • Own your team's roadmap and delivery: what gets built, in what order, and whether it ships, • Set technical direction, and get in the weeds to do it — stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Put your own hands on the problems where your judgment matters most — the highest-stakes, least-defined work — and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement, • Turn ambiguous business goals into a clear problem set alongside Research, Product, Engineering, and business stakeholders, and represent your team's work to senior leadership, • Set the quality bar: review your team's work with rigor, and define the metrics that decide whether a solution is working, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.The ideal candidate has:, • 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred, • Deep technical credibility, with the range and judgment to lead scientists who are experts in their own right, and the willingness to stay hands-on, • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem, • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them, • A bias toward action, quickly translating ideas into working prototypes to test approaches, • Strong communication skills, including at the executive level, with a track record of driving alignment across teams and functions, • A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:, • Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to build and lead the team behind Garner's algorithmic systems — shaping how members find better care, and how applied science gets done at Garner, while staying close to the work yourself. What you'll get here: You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity:Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Drug Discovery Scientist Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities • Design realistic research problems for AI models in drug research and development., • Build a data room from real, source-grounded data ensuring every value traces to a real source., • Write a grading document to score submissions on substance, not style or method., • Validate and calibrate tasks before submission to ensure accuracy and depth., • Revise tasks based on reviewer feedback, maintaining authority on scientific and difficulty questions. Qualifications Must-Have • Expertise in mechanistic enzymology, structure-guided peptide or antibody design, fragment-based discovery, or structure-based medicinal chemistry., • PhD or equivalent industry track record., • Ability to pose defensible problems that require genuine reasoning., • Comfortable judging reasoning quality, not just final answers. Compensation & Legal • Hourly contractor Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job Description We are seeking a Senior Scientist specializing in Statistical Process Control (SPC) and Data Analytics to support commercial cell therapy manufacturing within a Global Manufacturing Science & Technology (MSAT) organization. This role focuses on preparing and analyzing manufacturing data, monitoring process performance, supporting Continued Process Verification (CPV) and Annual Product Quality Review (APQR) reporting, and configuring analytical systems to automate monitoring and reporting activities. Key responsibilities: • Prepare, clean, merge, and analyze manufacturing and quality datasets using R and statistical analysis tools;, • Perform statistical process control, process capability analysis, and multivariate analysis;, • Monitor CPV parameters, identify process trends and drifts, and evaluate statistical alerts;, • Support CPV/APQR reporting, investigations, and root cause analysis;, • Configure analytical systems and support automation of data preparation and reporting;, • Prepare technical reports and GMP documentation;, • Collaborate with Manufacturing, Quality, MSAT, Engineering, and other cross-functional stakeholders. Position details: • Contract length: initial 6-month contract with potential extensions, up to 2 years in total, based on performance and client needs;, • Location: Madison, NJ 07940;, • Work arrangement: Hybrid, 50% onsite with flexible onsite days;, • Schedule: Monday–Friday, 9 AM–5 PM EST, 40 hours per week;, • Travel: Up to 10% globally;, • W-2 contract position;, • No C2C options;, • No visa sponsorship. Requirements Required: • Bachelor's degree in Life Sciences, Biotechnology, Engineering, Statistics, Data Science, or a related discipline;, • 5+ years of pharmaceutical experience in a GMP-regulated environment;, • 3+ years of experience in data management and analytics;, • Strong hands-on experience with R for data preparation, manipulation, and analysis;, • Strong working knowledge of statistical analysis using JMP, R, or Python;, • Experience with statistical process control (SPC), process monitoring, and capability analysis;, • Applied coding experience supporting data analytics, reporting, or process monitoring;, • Ability to analyze manufacturing or quality datasets, identify trends, and communicate findings;, • Strong communication, technical writing, and cross-functional stakeholder management skills;, • Ability to work effectively within a matrix team. Preferred: • Experience supporting SPC for commercial cell therapy manufacturing;, • Experience with Continued Process Verification (CPV) and Annual Product Quality Review (APQR);, • Experience with multivariate analysis and process engineering;, • Experience configuring or automating statistical monitoring and reporting systems;, • Python automation experience;, • Experience leading meetings and managing small projects;, • Experience with Lean Six Sigma or Operational Excellence methodologies. Benefits • Health insurance with dental and vision insurance options., • Holiday pay., • 401(k) program., • Employee referral bonus program., • The client retains the right to hire the contractor directly.

Job DescriptionGlobal Product Development and Supply - Senior Scientist Engineer Investigator Job Number: 26-01875 Be part of a company that delivers life-changing healthcare solutions. ECLARO is looking for a Global Product Development and Supply - Senior Scientist Engineer Investigator for our client in Madison, NJ. ECLARO’s client is a leader in the Biopharmaceutical Industry, providing quality, innovative, and affordable medicines that make a difference in the lives of patients all over the world. If you’re up to the challenge, then take a chance at this rewarding opportunity! Position Overview: • The Senior Scientist is a key member of the Global Manufacturing Science & Technology (MSAT) Process Robustness and Investigations team, responsible for Continued Process Verification (CPV) and Annual Product Quality Review (APQR) activities across the cell therapy manufacturing network., • This role supports commercial manufacturing by monitoring process and product performance, analyzing manufacturing and quality data, identifying trends, assessing process control, and ensuring timely reporting to meet regulatory and business requirements., • The successful consultant will leverage Statistical Process Control (SPC), Multi-Variate Analysis (MVA), and data analytics tools to prepare data, evaluate process robustness, identify process drifts, support investigations, and drive continuous improvement initiatives., • This position collaborates closely with cross-functional stakeholders, including Manufacturing, Quality Assurance, Quality Control, Supply Chain, Project Management, and site and global MSAT teams. Responsibilities: • Monitor and trend CPV parameters to ensure processes remain in a state of control., • Support preparation of CPV and APQR reports in accordance with established timelines and regulatory expectations., • Perform statistical analysis, SPC monitoring, and multivariate modeling to improve process understanding and product robustness., • Evaluate statistical alert events, identify trends or gaps, and communicate findings to stakeholders., • Support investigations, root cause analyses, and data-driven decision making., • Author, review, and approve technical reports, procedures, and other GMP documentation., • Identify operational excellence opportunities and recommend continuous process improvements., • Partner with global and site functions to support process monitoring, manufacturing performance, and quality objectives. Qualifications: • Bachelor's Degree, MS or PhD in Life Sciences, Biotechnology, Chemical Engineering, Statistics, Pharmaceutical Sciences, Data Science, or a related discipline., • Strong knowledge of data science tools such as R and Python., • Experience in biopharmaceutical, pharmaceutical, cell therapy, or advanced therapy manufacturing environments, including CPV, APQR, process validation lifecycle concepts, and GMP regulations., • Experience with statistical analysis, SPC, process capability analysis, and data visualization tools such as JMP, Minitab, Spotfire, Tableau, Power BI., • Demonstrated ability to analyze large datasets, support investigations, and communicate technical findings effectively., • Strong technical writing, project management, and cross-functional collaboration skills., • Experience in cell therapy manufacturing and Lean Six Sigma methodologies is preferred. Pay Rate: $62.12 - $65.89 / Hour If hired, you will enjoy the following ECLARO Benefits: • 401k Retirement Savings Plan administered by Merrill Lynch, • Commuter Check Pretax Commuter Benefits, • Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Paul Quibuyen Christian.Quibuyen@eclaro.com 646-695-2942 Paul Quibuyen | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Job DescriptionClient: Advertising Services Location: remote (US) Type: Direct Hire Pay: 130-165k salary The Role We are looking for a Senior Data Scientist to join our Data Strategy & Analytics team and help clients understand the incremental impact of their marketing investments. In this role, you will design and execute rigorous measurement solutions, including incrementality tests, media mix models, and causal analysis. and translate the results into clear, actionable recommendations. You will partner with Data Strategy, media, client service, and analytics teams to solve complex measurement challenges across channels and funnel stages. You will work directly with large, imperfect marketing datasets, select the right methodology for each business question, and communicate both the findings and their limitations to technical and non-technical audiences. The ideal candidate has hands-on experience with incrementality testing and media mix modeling, along with a strong understanding of digital and upper-funnel media measurement. You should be comfortable evaluating channels such as CTV, video, audio, OOH, paid social, and other brand investments where last-touch attribution is incomplete. You will also help strengthen our measurement approaches and guide junior & on-level data scientists in sound experimental and modeling practices. You Will Be • Partnering with Data Strategy, media, and client teams to translate business questions into clear, testable measurement plans, • Designing and analyzing incrementality tests, including geo-based experiments, holdouts, matched-market tests, and other causal inference approaches, • Building, validating, and interpreting media mix models to estimate channel contribution, efficiency, saturation, and diminishing returns, • Developing measurement approaches for upper-funnel and brand media, including its direct impact and influence on lower-funnel outcomes, • Conducting power analyses, test feasibility assessments, sensitivity analyses, and model diagnostics to ensure findings are statistically credible, • Working with large, multi-source marketing datasets; identifying data quality issues, measurement gaps, and implications for analysis, • Turning analytical findings into practical recommendations for media planning, optimization, and future testing, • Applying complementary advanced analytics methods - including predictive modeling, propensity modeling, segmentation, and forecasting - to solve broader client and media strategy questions, • Guiding and mentoring junior data scientists and contributing to shared measurement standards, code, and best practices You Must Have, • Education: Master's degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline preferred or B.S. + 5 years of relevant experience, • Strong programming skills in Python, R, & SQL, • Hands-on experience designing and analyzing incrementality tests, such as geo holdouts, matched-market tests, synthetic controls or holdouts, or randomized experiments, • Hands-on experience building, validating, and interpreting media mix models, • A deep understanding of statistical modeling, causal inference, experimental design, and time-series methods, • Ability to evaluate methodological tradeoffs, challenge weak assumptions, and select approaches appropriate to the available data and business decision, • Ability to work independently on ambiguous problems while collaborating closely with cross-functional teams Nice to Have, • Experience with Bayesian modeling frameworks such as PyMC or similar tools, • Experience calibrating or validating MMM results with incrementality tests, or integrating multiple measurement methods into a unified recommendation, • Experience with brand measurement, awareness studies, retail or offline sales data, or multi-outcome/funnel modeling

Job DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Applied Scientist, you'll be embedded in the Applied Science team. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do • Ship production algorithmic systems end-to-end, from problem framing to launch to iteration, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, • Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results, • Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are two problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.What we're looking for, • A Bachelor's or Master's degree (in progress) in Computer Science, Mathematics, Statistics, Economics, or a related STEM field, with an expected graduation date of Fall 2026 or Spring 2027., • A bias toward action, quickly translating ideas into working prototypes to test approaches., • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them., • A solid command of the methods your work calls for and the data your models depend on., • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem., • Strong communication skills, with the ability to present your work clearly to senior stakeholders., • A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team's metrics.What you'll get here You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use • Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The target base comp range for this role is $150,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that's what you're looking for, we'd love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity:Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job DescriptionAbout Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needsProblem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical visionLeadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Compensation Base salary range: $150,000 – $240,000 per year. The salary range represents Dyania Health's good-faith estimate of the base compensation for this position at the time of posting. Actual compensation will depend on factors such as experience, qualifications, skills, and other job-related considerations. This position may also be eligible for participation in Dyania Health's employee stock option plan. Benefits Benefits available to eligible employees include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Life and disability Insurance Work Arrangement Hybrid position requiring approximately 3–4 days per week in our Jersey City, NJ office, with approximately 1 day per week remote.

Job Description The Last Resort That Actually Works: When Every Other Path Did not You Have Already Tried the Usual Advice You rewrote the resume. You networked. You applied daily. You took a cheaper bootcamp. You used a staffing firm. You practiced on LeetCode at midnight. You still are not hired—or you get interviews and lose them. for the jobseeker who is out of tactics: recent graduates, people who cannot get interviews, people who fail interviews, caregivers back from family leave, career-gap candidates, outdated-stack professionals, laid-off reentrants, OPT students, career switchers, and bootcamp grads still unemployed. Several Hireable Paths JOPP targets software engineer, Data Analyst/Scientist and Java developer roles with Spring, microservices, DevOps, and DSA. Data Science JOPP targets data analyst, data scientist, data engineer, and AI/ML roles with Python, SQL, BI, cloud data platforms, ML, and GenAI. genuine projects, a 5,000 interview-question database, and outreach across 24,000 tech-client contacts.Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone—and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma—they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers.Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ When Nothing Else Works, JOPP Works That line is the point JOPP is not magic, and it is not passive: attendance, assessments, relocation openness where required, interview show-up, and project completion matter. It is a full system for people who discovered that certificates, job boards, and "placement support” do not get them hired. If every other path stalled, stop collecting tactics. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Job Description Career Changers Welcome: Move Into Software or Data With a Structured Plan SynergisticIT | Career-switch candidates for full-time tech client roles Wanting a tech career is not the same as looking hire-ready. Career changers often bring work ethic, domain knowledge, and maturity. What they usually lack is a current stack, portfolio evidence, and interview stamina. SynergisticIT's JOPP treats the switch as a professional rebuild. We assess your starting point, Upskill you in Java full stack or data science / ML/AI, and put you on project work you can defend in interviews. Our team then presents you to hiring companies instead of leaving you to cold-apply forever. You do not need a perfect origin story. You need demonstrable skill. A four-year CS degree is not mandatory for every tech seat; employers increasingly hire for proof. JOPP exists to create that proof without fake resume lines. If you are ready to study seriously and take coaching, this is a constructive way to change fields. Start now so the career change becomes a timeline, not a wish. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experience, • Please check below links:, • Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ • please read our blogs, • Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/, • Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Stop waiting for the phone to ring. Let's start your tech career—together. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Remote Data Scientist We're hiring a Remote Data Scientist for a fast-growing, well-funded fintech company. This is a hands-on, non-client-facing seat on a small data team - you'll apply Python, SQL, and applied statistics/ML to real product and risk questions, working closely with engineers and analysts, and presenting those findings to internal and external stakeholders. Requirements: • Solid Python and SQL experience, • Foundational statistics (hypothesis testing, regression analysis, experimental design), • Applied ML exposure (e.g. scikit-learn) Pluses: • Experience working in a start-up or on a fast paced team, • Statistical Risk modelling experience Location: Remote - this client is based in NYC and would love to find a candidate in the NY area who can come in now and then, but they're open to anyone located in the US. Salary: 150K- 200K DOE!

Job Description Role Summary Lexeo is seeking a hands-on in vivo pharmacologist to build rodent models of cardiac disease and use them to de-risk targets, screen therapeutic candidates and advance our discovery pipeline. The scientist will design, perform or manage rodent studies from target validation through hit identification, working cross-functionally with In Vitro Pharmacology, Modality Engineering, and Translational Sciences to select-advance molecules. Reporting to the Head of Cardiac Research, this role joins cardiac, neuroscience, and non-clinical scientists developing therapies for genetic heart disease and offers broad experience in multidisciplinary biopharma research. Primary Responsibilities • Design and execute in vivo studies that de-risk novel targets, using genetic knockdown/overexpression and tool molecules to test target–phenotype links, • Outsource or internally establish rodent cardiac disease models, including transgenic lines and surgical models such as TAC and MI, • Run therapeutic screening studies that rank candidates on efficacy, dose-response, durability, and identify hit molecules for advancement, • Dose by multiple routes (IV, IP, SC, IM, PO, retro-orbital) and by osmotic minipump across longitudinal studies, • Lead study takedowns: necropsy, blood and tissue collection, and processing for histology, molecular, and ex vivo endpoints, including Langendorff cardiac dissociation, • Partner with Translational Sciences to establish bioanalytical methods for biodistribution and target engagement in rodent tissues, and align on models with clinical endpoints/biomarkers, • Analyze, interpret, and present data to project teams; keep study records in the ELN in line with IACUC and animal welfare standards, • Manage study logistics, manage budgets, flag capacity or timeline risks early, and ideate novel methods for pharmacology and physiology Required Skills and Qualifications, • PhD in physiology, pharmacology, cardiovascular biology, or a related field with 0–3 years of postdoctoral or industry experience; or MS with 5+ years of industry experience, • Hands-on rodent experience: handling, multi-route dosing, blood collection, survival surgery, and necropsy, • Track record using rodent disease models for target validation or efficacy testing of molecules, • Proven understanding of power analyses, methods of randomizing animal models and appropriate uses of statistical methods, • Strong data analysis skills (e.g., GraphPad) and clear written and verbal communication, • Organized and independent; able to run several longitudinal studies at once within a collaborative team, • Ability to regularly work onsite at HQ in New York City Preferred Skills and Qualifications, • Industry experience in a small, fast-paced biotech is highly preferred, • Working knowledge of qPCR/ddPCR for vector/mRNA, ELISA/LC-MS for ASO, RNAscope/IHC for tissue localization, WB/ ELISA/MSD for protein detection, • Hands-on echocardiography in mice and rats (e.g., Vevo), • ECG and blood pressure telemetry implantation and analysis in mice and rats (e.g., Ponemah), • Cardiac surgical models (TAC, MI) and invasive hemodynamics (PV-loop), • Demonstrated experience with models of neurodegenerative disease, particularly ataxia or cerebellar disorders, including execution and interpretation of rotarod, gait analysis, balance beam, grip strength, and longitudinal behavioral studies, • In vivo experience working with and advancing AAV or oligonucleotide therapeutics, • Experience selecting and evaluating CROs to perform animal studies, • AALAS certification or equivalent Compensation is dependent on qualifications and experience About LEXEO Lexeo Therapeutics is a New York City-based, clinical stage company dedicated to reshaping the path of genetic disease. By advancing pioneering science, Lexeo seeks to set a new standard in the treatment of cardiovascular and neurological genetic diseases, charting the path to patient outcomes once thought out of reach. The Company is advancing a portfolio of therapeutic candidates designed to address the underlying genetic causes of disease, including LX2006 for Friedreich ataxia (FA), LX2020 for plakophilin-2 (PKP2) arrhythmogenic cardiomyopathy, and others in devastating diseases with high unmet need. LEXEO Therapeutics is an EEO employer committed to an exciting, diverse, and enriching work environment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The mission of the US AI & Data Team To accelerate business transformation by turning data and Artificial Intelligence into trusted, scalable capabilities that deliver measurable value. The team partners with business, technology, risk and operations to identify high-impact opportunities, develop and deploy data-driven and AI-enabled solutions, and ensure their responsible adoption through strong data quality, governance, explainability and performance monitoring. Our goal is to improve client experience, commercial effectiveness, operational efficiency and risk management across the organization. You will be expected to Lead the design, development and industrialization of data science and AI solutions that improve client engagement, commercial effectiveness, operational efficiency and risk management. The role combines strong analytical depth with business judgment, translating strategic priorities into scalable, governed and measurable data products. Key Responsibilities • Frame high-value business problems and define data science approaches, success criteria and measurable KPIs with business, product and operations stakeholders., • Build, validate and deploy predictive, optimization and machine learning models; contribute to Generative AI and agent-based use cases where appropriate., • Translate data insights into clear recommendations and decision-ready narratives for senior stakeholders, including assumptions, limitations and expected impact., • Partner with Data for AI and AI Tech, Risk, Compliance and Operations to deliver reusable, scalable solutions and manage dependencies across initiatives., • Establish robust model documentation, monitoring and performance standards, ensuring accuracy, explainability, responsible AI and compliance with data and AI governance., • Support portfolio prioritization by assessing feasibility, data readiness, investment needs, value potential and adoption requirements; promote uptake through training and change management. Require Experience and Qualifications • At least 7 years of professional experience as a Data Scientist, Analytics Specialist, Machine Learning Engineer or comparable data-focused role., • Demonstrated experience delivering end-to-end analytical or AI solutions in complex, cross-functional environments, from problem definition through production deployment and value tracking., • Strong hands-on skills in Python and SQL, statistical analysis, machine learning, experimentation and data visualization. Experience with cloud data platforms and MLOps is strongly valued., • Ability to work with large, imperfect data sets and to communicate technical concepts clearly to non-technical audiences., • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics or a related quantitative discipline., • Professional fluency in English. Experience in financial services, regulated environments or risk-sensitive use cases is an advantage. Successful Profile A pragmatic and curious data professional who combines rigorous analytical thinking with a strong focus on business value. The successful candidate works effectively across disciplines, challenges assumptions constructively, and delivers trustworthy solutions that can scale across teams and geographies. Core skills Data science, machine learning, SQL, Python, experimentation Ways of working Collaboration, ownership, structured problem solving Values Client focus, innovation, ethics and empathy All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected base salary ranges from $150,000 to $190,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of the complex landscape of the healthcare and insurance business. Insurance companies sit on a trove of data that is both broad and deep—spanning financial claims, clinical medical records, and rich product interaction data from our members. The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that quantify Oscar's clinical risk and power our risk adjustment submissions—work that directly impacts Oscar's financial performance and strategic decision-making. As a Senior Data Scientist on this team, you will design, build, and maintain systems that automate manual business processes across the risk adjustment space. Our Actuarial team will be your core stakeholders, and you will also partner with our internal Risk Adjustment team and other business functions. You will work closely with these stakeholders to understand their processes, then bring those workflows into our data science infrastructure—re-engineering them to be more robust, accurate, and feature-rich. This is a builder-focused role: the ideal candidate is energized by taking an ambiguous, manual process and turning it into well-engineered, validated, and maintainable production systems. You will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs against existing processes, and iterating after launch. Beyond individual projects, you will help shape the technical direction of the team's risk adjustment models and infrastructure, and provide informal mentorship to junior data scientists. You will report to the Senior Manager, Data Science on the Risk Adjustment team. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical systems supporting Oscar's clinical risk adjustment quantification and submissions processes, • Partners closely with business stakeholders including the Actuarial and Risk Adjustment teams—to translate manual processes into automated, validated, and feature-rich systems, • Owns projects end-to-end, including problem definition, technical design, implementation, validation against existing processes, and post-launch iteration, • Interacts and collaborates closely with data and business counterparts across functional areas, • Works with team and manager to impact longer term strategies and roadmap, • Provides informal mentorship to junior data scientists, • Compliance with all applicable laws and regulations, • Other duties as assigned Requirements: • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL and Python to query, manipulate, and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing, • Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing Bonus points: • Advanced degree in a quantitative or technical field, • Experience in the healthcare, finance and/or insurance industries, • Experience with risk adjustment, actuarial processes, or health insurance financial modeling, • Experience converting manual or spreadsheet-based analytical processes into automated production systems, • Experience with modern data and orchestration tooling (e.g., BigQuery, dbt, Dataflow) and cloud platforms This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description The Scientist will provide scientific and technical leadership for the AIR and Routine IHC team, with responsibility for leading (but not limited to) complex, high-priority projects, and expanding the scope and capabilities of AIR and IHC services. The Scientist will independently design and execute experiments, develop and optimize assays and protocols, troubleshoot complex technical challenges, interpret scientific data, and provide expert guidance on immunohistochemistry (IHC), immunofluorescence (IF), multiplex immunofluorescence (mIF), RNA in-situ hybridization, and related biomarker applications. The role will also contribute to the development of new services, products, and scientific capabilities while mentoring junior scientists and supporting the continued growth and efficiency of the AIR and IHC team. General Responsibilities • Lead complex AIR projects from experimental design through execution, data interpretation, and final reporting., • Critically evaluate scientific literature to identify and recommend appropriate antibodies, biomarkers, assays, and methodologies for IHC, IF, mIF, and RNAscope/HCR applications., • Design, develop, optimize, and independently execute IHC, IF, mIF, RNAscope/HCR assays., • Develop and optimize new protocols, assays, products, and scientific services to expand AIR and IHC capabilities., • Troubleshoot complex technical and quality issues and collaborate with histology staff, pathologists, and other scientific personnel to ensure high-quality results and slide QC., • Evaluate emerging technologies and methodologies and recommend their adoption when they provide scientific or operational value., • Lead scientific discussions and project update meetings with clients., • Provide scientific guidance and technical support to Sales and Project Management teams during project planning, execution, and troubleshooting., • Write, review, and maintain Standard Operating Procedures (SOPs), work instructions, protocols, and other technical documentation., • Maintain accurate and complete experimental records and document project progress, results, and deviations in the Laboratory Information Management System (LIMS)., • Ensure that experimental procedures and documentation comply with established quality standards and internal procedures., • Contribute to continuous improvement of scientific and quality processes.Principal Working Relationships, • Reports to the AIR/IHC Supervisor, • Works closely on a daily basis with scientists, histologists, pathologists, project managers, sales personnel, and other members of the AIR and IHC teams., • Serves as a scientific project lead and primary scientific contact for assigned client projects., • Provides scientific mentorship, technical guidance, and training to junior team members., • Collaborates with internal teams to plan, execute, troubleshoot, and deliver client projects., • Interacts with clients and external scientific collaborators regarding experimental design, technical requirements, project progress, results, and scientific interpretation., • Interacts with professional organizations, scientific societies, regulatory bodies, and other external stakeholders as required. Qualifications • Ph.D. in Biology, Molecular Biology, Neuroscience, Immunology, Pathology, Biomedical Sciences, or a related life sciences field; M.S. with substantial relevant industry experience may also be considered., • Strong hands-on experience with immunohistochemistry (IHC), immunofluorescence (IF), and/or in situ hybridization (ISH) techniques., • Experience with antibody optimization, assay development, troubleshooting, and validation, including evaluation of staining specificity, sensitivity, background, and appropriate controls., • Strong understanding of tissue biology, histology, biomarkers, and experimental design., • Experience working with FFPE and/or frozen tissue samples from human or preclinical species., • Ability to independently analyze experimental results, identify potential sources of assay failure, and develop appropriate troubleshooting strategies., • Experience with automated staining platforms, such as the Leica BOND RX, is preferred., • Strong organizational and documentation skills, including accurate maintenance of experimental records, protocols, reagent information, and project documentation., • Comfortable working in a fast-paced CRO environment where project priorities and experimental requirements may vary across clients., • Ability to train and mentor junior laboratory staff and provide technical guidance on assay execution and troubleshooting., • Familiarity with GLP, GCLP, CLIA/CAP, or other regulated laboratory environments is beneficial but not required. Powered by JazzHR X6emFacBCx

Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit _ for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4–6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics • Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics., • Design and execute advanced statistical analyses to identify business trends, risks, and opportunities., • Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets., • Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization., • Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues., • Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development • Design and implement end-to-end machine learning pipelines from data ingestion to deployment., • Perform feature engineering, feature selection, and data transformation to improve model performance., • Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies., • Optimize machine learning algorithms for scalability, accuracy, and interpretability., • Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration • Partner with data engineering teams to build scalable data pipelines and analytical data models., • Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms., • Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication • Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics., • Present analytical findings, model results, and recommendations to both technical and non-technical audiences., • Translate complex data science concepts into business-friendly insights and actionable recommendations., • Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting • Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools., • Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: • MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field., • 5+ years of applied machine learning, data science, or AI experience in a professional setting., • Demonstrated experience owning projects or major workstreams from initial problem definition through delivery., • Excellent programming skills in Python to include strong overall OOP experience., • Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks., • Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider., • Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI., • Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining., • Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar., • Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services., • Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous., • Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams., • Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders., • High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: • Hands-on experience with the C3 AI platform., • Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role., • Experience delivering AI solutions for large enterprises or Fortune 500 clients., • Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries., • Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization., • Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job DescriptionRole Title: Junior Data Scientist Role Type: Contractor Location: Remote We are seeking Junior Data Scientists and quantitative professionals to evaluate AI performance in statistics, machine learning, experimentation, and quantitative reasoning. You'll help improve AI models through expert-level problem-solving and technical feedback. Key Responsibilities • Evaluate AI-generated responses to data science, statistics, machine learning, and quantitative problems., • Create expert-level prompts, datasets, and reference solutions., • Identify methodological flaws, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance.Required Qualifications, • At least 1 year of experience at a leading technology, finance, or research company, with some experience gained within the past 3 years., • Based in an English-speaking country., • Strong written communication skills and the ability to explain technical and statistical concepts clearly.

Job Description Career Changers Welcome: Move Into Software or Data With a Structured Plan SynergisticIT | Career-switch candidates for full-time tech client roles Wanting a tech career is not the same as looking hire-ready. Career changers often bring work ethic, domain knowledge, and maturity. What they usually lack is a current stack, portfolio evidence, and interview stamina. SynergisticIT's JOPP treats the switch as a professional rebuild. We assess your starting point, Upskill you in Java full stack or data science / ML/AI, and put you on project work you can defend in interviews. Our team then presents you to hiring companies instead of leaving you to cold-apply forever. You do not need a perfect origin story. You need demonstrable skill. A four-year CS degree is not mandatory for every tech seat; employers increasingly hire for proof. JOPP exists to create that proof without fake resume lines. If you are ready to study seriously and take coaching, this is a constructive way to change fields. Start now so the career change becomes a timeline, not a wish. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experience, • Please check below links:, • Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ • please read our blogs, • Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/, • Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Stop waiting for the phone to ring. Let's start your tech career—together. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com. Title: Data Scientist – Formulation & Product Development Location: Clark, NJ ((Hybrid – Onsite 3 days per week) Duration: 6 months possibility of extension W2 Contract (No C2C) Pay rate: $57 per hour Key Traits / Profile • More autonomous and proactive, • Understands the problem, not just the data, • User-facing and comfortable working with business stakeholders, • Suggests solutions and drives outcomes, • Not passive; takes initiative and ownership, • Data Scientist with 3+ years of experience Job Summary We are seeking a highly motivated Data Scientist to transform complex data into actionable insights by developing both predictive machine learning models and GenAI-based solutions that support business decision-making. The ideal candidate will take ownership of projects from problem definition through deployment, working autonomously, proactively, and with a solution-oriented mindset. 📋 Responsibilities • Design, develop, and deploy predictive machine learning models, including regression, classification, clustering, time series, and forecasting solutions on structured data., • Design and deploy GenAI-based solutions, including retrieval-augmented generation (RAG), AI agents, prompt engineering, model adaptation, and fine-tuning., • Select the most appropriate approach for each business problem, whether predictive ML or GenAI, based on performance, cost, and business value., • Evaluate and monitor models in production, including performance, drift, hallucinations, bias, and cost., • Explore, clean, and analyze large structured and unstructured datasets in collaboration with Data Engineers., • Translate business requirements into measurable solutions and present findings through dashboards and effective storytelling., • Proactively identify opportunities and recommend new data and AI use cases. 🛠 Requirements • Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field., • 3+ years of hands-on Data Science experience, including both predictive machine learning and GenAI implementations in production environments., • Predictive ML: Strong Python skills, solid statistical knowledge, feature engineering, model validation, and experimentation experience., • GenAI: Experience with prompt engineering, retrieval-augmented architectures, vector databases, GenAI frameworks, and evaluation of generated outputs., • Advanced SQL skills, data visualization tools (Power BI, Tableau, or equivalent), and Git., • Fluent English communication skills; French is a plus. ➕ Nice to Have • Experience in a scientific domain, preferably pharmaceuticals or cosmetics (e.g., R&D, formulation, ingredients, clinical studies, consumer research, or regulated environments)., • Experience with fine-tuning, agentic workflows, MLOps, and GenAIOps., • Experience with cloud platforms (Azure, GCP, AWS) and Spark/Databricks. 🌟 Soft Skills • Autonomy: Effectively manages priorities and delivers results with minimal supervision., • Proactivity: Anticipates needs, takes initiative, and proposes solutions rather than waiting for direction., • Communication: Clearly explains complex analytical results and AI limitations to both technical and non-technical audiences., • Collaboration & Curiosity: Works effectively across cross-functional teams and stays current with rapidly evolving AI technologies., • Problem-Solving Mindset: Focuses on understanding business challenges and driving practical solutions, not just analyzing data.

Job DescriptionQuality Control Analytical ScientistAllendale, NJ Lynkx Staffing LLC specializes in placing talented professionals in the Biotechnology, Pharmaceutical and Medical Devices industries in New Jersey. The QC Analytical Scientist will be a member of the Quality Control Department. As a Senior Member of the team the QC Analytical Scientist will be involved in various QC projects and should have a deep understanding of general QC flow and the Product Cycle. • Support internal and external customers to ensure that proper and timely execution of all aspects of the clinical analytical method life cycle across clients., • Support routine GMP testing as assigned. Mentor and train team members, • Evaluate corporate and regulatory requirements along with coordination of activities for implementation of these requirements., • Write the contents of Analytical Method Transfer and Validation life cycle documentation including master plans, protocols, test methods, and reports., • Create validation project plan i.e., timelines and resources and provides status updates to management. Utilize statistical tools for evaluation of method validation and trending data., • Identify, evaluate, and implement continuous business process improvements., • Perform troubleshooting activities with respect to methods/assays, equipment malfunctions and investigations (Deviations and OOS)., • Provide support during laboratory investigations., • Train QC personnel during method transfer and validation. Provide support during equipment qualification., • Consistently produce elevated level of documentation accuracy and clarity according to cGMP documentation practices., • Ability to set deadlines and prioritize work for self, group members, and support groups involved. Ability to review/approve work performed by coworkers for accuracy and alignment with procedures., • Indirectly may supervise cross functional teams including product development, QA, PMP, and Manufacturing.REQUIREMENT, • B.S Analytical Chemistry or other scientific field or MS/Ph.D. in Analytical Chemistry or other scientific field with demonstrated experience in Quality Control laboratories for biotechnology products., • 8-10 years of experience in the areas of method development, validation, and transfer., • Direct GMP Experience., • Proficiency in project management skills and tools., • Strong background and in-depth knowledge in analytical chemistry e.g. Flow Cytometry, ELISA, HPLC, CE, PCR, etc., • Extensive knowledge and experience of QC assay development, transfer and validation, along with cGMPs., • Strong Quality orientation with attention to detail required. Analytical and problem-solving skills required., • Excellent communication skills, both written and verbal, with all levels of the organization, including the ability to state opinions clearly, ask questions, seek clarification, communicate facts objectively, challenge when appropriate, and pursue issues to resolution., • Excellent presentation skills. Ability to communicate to upper management, across departments and within the immediate QC team., • Ability to create and manage work plans and timelines and independently manage competing priorities with limited instruction., • Highly motivated individual with good interpersonal skills that have proven effective in managing relationships and negotiating solutions while maintaining a level of approachability with colleagues both internal and external., • Must be familiar with GMP lab environment and Aseptic techniques.Working EnvironmentMust have the ability to work in a team-oriented environment and with clientsMust be able to work during the weekend, holidays, or overtime and as required by the companyMay be exposed to infectious diseases transmittable through human blood, tissues, or bodily fluidsMust utilize proper personal protective equipment (PPE) when handling all human specimens, gases, corrosive chemicals, and liquid nitrogenMust have the ability to work with specialized equipmentMust be able to handle the standard/moderate noise of the manufacturing facilityMay work with hazardous materials and chemicals Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

One of the top Hedge Funds is looking to hire a Data Analyst/Associate. Coverage includes Financials, Consumer, TMT, Healthcare, and Energy/Industrials. The opportunity to turn high-velocity, unstructured alternative data into sector-deep signals that inform investment decisions Your impact  Triangulate investor theses with data analyses that inform entry/exit, sizing, and risk.  Build scalable pipelines, features, and tools used across teams; produce promising research.  Partner directly with PMs/analysts; deliver time‐critical insights with clear caveats and recommendations.  Evaluate and sequence research requests, translating investment hypotheses into actionable data analyses.  Collaborate within a team of data scientists to design and maintain shared infrastructure, including tooling and ETL/feature pipelines, with testing, CI, observability, versioning, and lineage. Ideal background  2+ years in alternative data, statistics, data science, or quantitative research.  Python + SQL proficiency; exceptional data modeling, testing, and tooling.  Bridges data and investing - clear communicator who partners with investors to convert technical depth into decision-driving guidance.

Senior Data Scientist – New York (Hybrid) – Competitive Salary + Competitive Package + Opportunity to with a Series C Fintech Unicorn! This well-established FinTech are seeking an experienced Senior Data Scientist to come help build real-time machine learning systems at scale. This is an excellent opportunity for an experienced Senior Data Scientist to take the next step into a challenging position with a company offering significant growth potential. About the Company: Founded about a decade ago, they are now one the most well-known companies in their space. They are valued at $1.5bn having recently achieved unicorn status. They are consistently recognized as one of the best FinTech’s and start-ups to work for. Everything they do is entrenched in achieving engineering excellence. Their culture is not corporate, and they like to trust their employees to take on a lot of responsibility and have input into the shape of growth of the organisation. About the Senior Data Scientist Vacancy: You will work on progressing our core Machine Learning models whilst also partnering directly with customers to drive relevant outcomes. What You Will Do: • Participate in the creation, development, and assessment of machine learning models, • Create performance reports, metrics, and testing strategies, and convert results into practical suggestions., • To guarantee that models maintain accuracy and dependability at scale, support production machine learning activities, such as feature generation, model training, and monitoring., • To promote shared learning and ongoing development, record findings and share insights with internal teams., • To guarantee openness and compliance, keep model documentation current and assist model governance procedures., • Keep up with applicable machine learning industry trends. Who You Are: • Constantly considering the final answer, • Capable of explaining complex ideas to a non-technical audience, • Capable of establishing solid cross-functional connections, • Inherently interested and skilled at posing challenging queries, • A strong grasp of fundamental machine learning concepts, including feature engineering, supervised learning, and model evaluation, • A cooperative individual. You think that when the proper individuals collaborate, great things can happen., • Quick to pick things up, • Be modest. Errors occur, and accepting responsibility for them enables us to grow and advance swiftly. Ideal Requirements for the Senior Data Scientist Vacancy: • Over 8 years of experience as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning, demonstrating a successful history in a “Solutions” or client-oriented role, • Proficient in handling highly imbalanced datasets and developing production-level Machine Learning models, particularly focused on tree-based models, • Highly skilled in scripting languages such as Python and in querying languages such as SQL, • Demonstrated capacity to manage and analyze large-scale data (handling billions of records), • Background in creating metrics and dashboards, • Capable of conveying their results clearly to both technical and nontechnical individuals, • A person who represents their values: take risks, be resourceful, work together, and appreciate our diversity, • You possess experience in a role that requires strong analytical skills within dynamic settings, • Should reside in the Greater New York City area Nice to Have: • Prior background in identifying financial fraud, • Postgraduate qualification (Masters or PhD) in a quantitative discipline, • Proficient in overseeing the complete lifecycle of a technical pilot or Proof of Concept, • Familiarity with business intelligence tools such as Looker, • Proficiency in working with graph structure modelling Apply to the Role: Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply to this advert or email your CV to richard@weareorbis.com

Job DescriptionAbout Company Data science company with a software platform that runs secure and compliant machine learning workloads at scale. We specialize in auditable environments and in synthetic data for defense use cases where the source data cannot leave a government installation. Our first program builds physics-informed failure data for aircraft drivetrain health monitoring, working with an engineering partner that models how bearings and gears fail. THE ROLE You will lead the data science on a program that generates physics-informed synthetic vibration data for drivetrain health monitoring. You will work with a partner's physics-of-failure models of bearings and gears, turn their fault signals into realistic sensor data, rebuild the condition indicators that fielded health monitoring systems compute, and prove with sound statistics whether the synthetic data improves fault detection. Compute is capped, so experiment design matters more than brute-force search. WHAT YOU WILL DO IN THE FIRST SIX MONTHS Build a signal processing library and an emulator of fielded condition indicators: time synchronous averaging, envelope analysis, band energy, shock pulse and kurtosis measures. Fit a fast cyclostationary signal layer to physics model output for Monte Carlo generation. Define fault severity levels and degradation branches with the physics team, including lubricant depletion and stalled growth. Screen the physics models against the generated data and report which show promise. Run a conditional diffusion model as a challenger and a feature-level domain adaptation model as the control. Design and run the statistical significance demonstration: held-out splits by source, paired tests, ROC analysis and exact binomial bounds on detection and false alarm rates. Write the prototype report and the technical sections of monthly reports. REQUIRED A PhD, or a master's degree with equivalent experience, in mechanical or aerospace engineering, electrical engineering with signal processing, applied mathematics or statistics. Three or more years applying machine learning to vibration, rotating machinery or comparable sensor time series. Working command of bearing and gear fault diagnostics: defect frequencies, envelope analysis, order tracking, cyclostationary signals. Statistical validation: ROC analysis, confidence bounds, hypothesis testing, experiment design. PyTorch and the Python scientific stack (NumPy, SciPy, pandas). Clear technical writing for engineers and program managers. PREFERRED Helicopter health and usage monitoring (HUMS), condition-based maintenance, ADS-79 or seeded-fault testing. Physics-informed machine learning, surrogate models (Gaussian process, polynomial chaos) or Bayesian calibration (PyMC, Stan). Diffusion models or other generative models for time series. Domain adaptation methods (DANN, MMD, CORAL). Publications in PHM Society proceedings, Mechanical Systems and Signal Processing or comparable venues. WORKING ARRANGEMENT This is a remote role, open to candidates anywhere in the United States. We provide the hardware and a company-managed laptop. CITIZENSHIP AND CLEARANCE U.S. citizenship required. An active Secret clearance is a bonus; eligibility to obtain one required. EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. About the role: Underwriting is at the core of Arlo. Every group we price depends on how accurately we can estimate the risk of the individual members inside, and the quality of the estimate is essential to the sustainability of our business. We’re hiring a Senior Data Scientist to own our underwriting model and continuously deploy measurable improvements to it based on learnings from real-world outcomes. You’ll work with billions of claims across tens of millions of patients to identify what signals in claims history predict future medical cost, how to roll it up to a competitive price for a group, and how to deploy the system at scale. You’ll constantly monitor the lifecycle of predictions, group policies sold, and claims incurred by our tens of thousands of members to gather novel insights that can improve our model and pricing approach. This is a hands-on modeling role in which you will sit on the underwriting team alongside our team of data scientists and actuaries thinking through issues beyond point estimates of cost including how to handle data blindness, variability, and when the risk is too high to issue a quote. You’ll own the model but work alongside ML engineers to ensure that your ideas can be tested and deployed at scale. What you’ll work on: Evaluate the existing Arlo underwriting model and find where it breaks Develop a robust evaluation framework to stress the model outcomes and identify specific gaps in risk estimates (cohorts, conditions, or claims patterns) and the underlying causal factors Use those findings to generate a roadmap of model and feature work that is prioritized based on making sure our rates are competitive in the market while ensuring we can remain a profitable business. Build features that capture the full risk of a member Account for training and inference dataset bias to optimize member predictions Improve handling of member cost variance in our quoting pipeline Experiment with model designs Implement different ML architectures that balance efficacy, generalizability, and understanding so we can outperform the market Prove the lift before it ships Work with our backtesting harness to measure the effect of every model change on MLR and competitiveness. Set the bar for what "better" means and hold changes to it, so improvements to the model are trustworthy What we’re looking for: 5+ years as a data scientist building predictive models that made it into production Deep proficiency in Python and SQL, with comfort processing large datasets using Spark and using common modeling packages. A track record of owning a problem end-to-end in an ambiguous environment and shipping without being handed a spec Direct experience with healthcare data Strong instincts for feature engineering and model validation, and the judgment of how well results might be able to hold in production Interest in the larger business context. This is not a research endeavor, but a live model that directly changes our win rates, book size, and performance. Clear communicator who can explain what they did and why it mattered Nice to Have: Familiarity with claims data and their known quirks and biases Prior experience working at Series C or earlier start-ups Background in underwriting, actuarial sciences, or risk adjustments Experience with ML engineering and infrastructure Compensation $170,000- $220,000 + equity and benefits Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist, AI Enablement to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of the complex landscape of the healthcare and insurance business. Insurance companies sit on a trove of data that is both broad and deep—spanning financial claims, clinical medical records, and rich product interaction data from our members. As a Senior Data Scientist for AI Enablement, you will sit at the intersection of data science, data engineering, and artificial intelligence. You will be responsible for designing, building, and maintaining AI-powered analytical systems and pipelines that empower our internal stakeholders to self-serve their data needs. This is a builder-focused role: the ideal candidate is a data scientist with a strong engineering background (or vice versa) who is energized by turning ambiguous workflows into well-engineered, LLM-augmented data tools and automated insights. You will act as a foundational driver for AI Enablement for Data. You will be expected to operate with a high degree of independence, taking projects from initial conception to launch. While you will own these workflows end-to-end, you won't be building in a silo. This is a highly cross-functional position where you will partner closely with a talented group of AI engineers, software engineers, data scientists, and business stakeholders to bring scalable, production-ready solutions to life. You will report into the Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Lead the design, development, and deployment of AI-driven self-serve analytics products, from zero-to-one prototypes to robust production systems., • Rapidly experiment with new models, techniques, and tools, selecting approaches based on measured quality, reliability, performance, and cost., • Establish evaluations and monitoring for analytical accuracy, generated queries, and AI-generated insights, including how systems handle ambiguous questions and unsupported conclusions., • Collaborate cross-functionally with AI engineers, software engineers, and business leaders to deeply understand user needs and seamlessly integrate your data workflows into broader software applications., • Help shape Oscar's technical direction and roadmap for AI-enabled analytics., • Compliance with all applicable laws and regulations., • Other duties as assigned. Requirements: • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of experience working with SQL and Python to query, manipulate, and analyze data, • 2+ years of experience with LLMs, prompt engineering, and GenAI concepts, with a track record of applying them to practical use cases., • Experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing, • Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing, • Experience acting as a primary driver of technical projects, operating independently to scope and deliver solutions from end-to-end. Bonus points: • Experience integrating advanced agentic workflows into analytical tools and automated pipelines., • Experience with the healthcare industry. Familiarity with claims or clinical data., • Experience with headless semantic layers, such as Cube or MetricFlow., • Our ideal candidate is a data scientist with an AI engineering background or an AI engineer with a data science background. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Sustainability in fashion and textiles requires rethinking how raw materials are designed and produced. A circular industry needs alternatives to synthetic fibers and new ways to recover value from materials that would otherwise go to waste. At Finiks Forge, we give protein waste new life as regenerated material for the textile industry. Drawing on biomolecular self-assembly, we develop materials that build on the remarkable properties of natural fibers. Our work is supported by a National Science Foundation SBIR award and partners across the textile supply chain. We are seeking a Senior Research Scientist to lead the molecular and formulation science behind regenerated keratin materials across extraction, purification, formulation, and processing. This is a hands-on laboratory role for an independent scientist who can connect protein structure, molecular interactions, and formulation behavior to reproducible fiber properties. The position is based on-site in Brooklyn, New York, and reports directly to the CEO. What You Will Lead • Design and execute independent research programs, lead the technology roadmap, and supervise an Associate Scientist responsible for controlled fiber-production trials and quantitative characterization., • Develop keratin extraction, purification, modification, stabilization, and formulation protocols that preserve or control molecular structure while improving processability and fiber performance., • Establish protein structure–formulation–process–property relationships linking molecular organization, intermolecular interactions, extraction conditions, and formulation parameters to spinnability, fiber morphology, stress–strain behavior, and wet stability., • Scale processes from bench experiments to pilot batches, addressing mixing, heat and mass transfer, filtration, solvent recovery, process safety, and batch-to-batch reproducibility., • Design comparative experiments that separate effects of protein structure, formulation, and spinning conditions; use replicate fiber measurements, design of experiments, and statistical analysis to set priorities., • Develop analytical methods and specifications for protein molecular properties, concentration, rheology, stability, and final fiber performance; select methods that reveal causes of mechanical defects., • Troubleshoot complex chemical and process failures, determine root causes, and communicate evidence-based recommendations., • Contribute to invention disclosures, patent applications, trade-secret documentation, grant reporting, and technical presentations., • Direct the Associate Scientist’s fiber-production trials: set experimental priorities, review spinning and stress–strain data, diagnose defects, and translate results into extraction and formulation decisions. Coordinate specialized scale-up work with external partners. Required Qualifications • PhD in chemistry, polymer science, chemical engineering, biomaterials, materials science, or a closely related field, with relevant postdoctoral or industrial experience; or a master's degree with substantial industrial R&D experience., • Experience supervising or mentoring junior scientists and translating research objectives into clear experimental priorities., • Demonstrated ability to independently design, execute, analyze, and document chemistry or materials-development experiments., • Hands-on expertise in protein or structural-biopolymer chemistry, including folding or higher-order structure, molecular interactions, solution preparation, formulation, modification, stabilization, and structure–property relationships., • Hands-on experience with extraction, purification, filtration, concentration, solution preparation, and formulation of polymers, proteins, polysaccharides, or other complex macromolecules., • Experience moving a chemical or materials process from laboratory proof of concept toward larger-scale, reproducible operation., • Ability to investigate protein structure and molecular organization using fit-for-purpose analytical techniques and connect those measurements to rheology, fiber morphology, and tensile stress–strain behavior., • Strong experimental reasoning, quantitative analysis, technical writing, organization, and project-management skills., • Ability to work effectively in an early-stage company, make progress with incomplete information, and balance scientific rigor with development timelines. Preferred Experience • Hands-on experience and theoretical knowledge of structural biopolymers, such as keratin, silk fibroin, collagen, chitin, or chitosan., • Experience collaborating with fiber-spinning teams and interpreting the effects of spinneret design, shear, coagulation, drawing, and post-processing on fiber properties; direct wet-spinning experience is a plus., • Highly concentrated polymer solutions, non-Newtonian rheology, formulation additives, and process stability., • Membrane filtration, solvent or salt recovery, pressurized reactors, pilot equipment, or process-control systems., • Technology transfer, external manufacturing partnerships, patent development, or federally funded R&D programs. What We Offer • A leadership role in developing a new circular materials platform from fundamental chemistry through pilot manufacturing., • Base salary: $105,000-$135,000, based on experience, plus stock options., • Health and wellness benefits. How to Apply Please send a CV or resume and a brief cover letter describing your relevant scientific and technology-development experience to info@finiksforge.com with the subject line "Senior Research Scientist." • Finiks Forge, Inc. is committed to building a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.

Data Analyst / Data Scientist – Customer Analytics & Digital Products Location: Manhattan, New York, NY Work Arrangement: Hybrid / Remote (based on business requirements) Employment Type: Contract-to-Hire Compensation: $55–$75/hour, based on experience Schedule: Full-Time | 40 Hours per Week Employment Eligibility Candidates must be eligible for direct W-2 employment with Nexus Staffing in the United States. We welcome qualified U.S. citizens, lawful permanent residents (Green Card holders), individuals with valid Employment Authorization Documents (EAD), and eligible TN professionals, subject to applicable work authorization requirements. No C2C, third-party agencies, subcontractors, or independent contractor arrangements will be considered. Turn Complex Data into Insights That Make a Difference. Are you the kind of analyst who sees patterns others miss? Do you enjoy digging into complex datasets, questioning assumptions, and transforming raw information into meaningful business decisions? Nexus Staffing is seeking a talented Data Analyst / Data Scientist to join the Customer Analytics and Digital Products team of a major organization in Manhattan. This opportunity places you at the intersection of advanced metering technology, customer analytics, and digital product innovation, where your work will help shape how customers understand, manage, and optimize their energy usage. We're looking for someone who combines strong analytical instincts with hands-on experience working with utility data and Advanced Metering Infrastructure (AMI). If you thrive on solving challenging problems, take pride in the accuracy of your work, and enjoy seeing your insights translate into tangible improvements, we'd like to hear from you. What You'll Do Transform Data into Actionable Insights • Analyze large, complex datasets involving AMI meter usage, customer billing, and digital engagement., • Identify trends, anomalies, inconsistencies, and opportunities that influence customer experience and business performance., • Validate multi-source data extracts, vendor reporting, and analytical outputs to ensure accuracy and reliability., • Investigate discrepancies, identify root causes, and recommend practical solutions. Build Meaningful Analytics & Reporting • Develop compelling Power BI dashboards, visualizations, and performance reports., • Work with large, multi-source datasets using Databricks and related analytical tools., • Monitor customer engagement, billing outcomes, and digital product performance., • Translate complex findings into clear, actionable recommendations for business stakeholders. Support Digital Product Innovation • Analyze historical usage and billing data supporting customer-facing tools, including rate recommendation and bill comparison applications., • Evaluate customer interactions, website engagement, and digital product performance., • Collaborate with Product Owners, engineers, and business stakeholders to validate data integrations and improve product functionality., • Support testing, troubleshooting, and continuous improvements across digital platforms. Connect Technology with Business Decisions • Present findings clearly to both technical and nontechnical audiences., • Challenge assumptions, validate results, and uncover opportunities for improvement., • Partner with cross-functional teams to turn analytical discoveries into measurable business outcomes. What You'll Bring Required Qualifications • Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, Engineering, Mathematics, or a related discipline., • Minimum 2 years of professional data analysis experience., • Hands-on experience analyzing utility industry data, particularly AMI / smart meter usage data. This is essential., • Experience developing reports, dashboards, and visualizations using Power BI., • Experience analyzing large datasets from multiple sources., • Strong analytical reasoning, data validation, and troubleshooting capabilities., • Exceptional attention to detail and an ability to recognize patterns, anomalies, and data inconsistencies., • Excellent written and verbal communication skills., • Ability to work independently while collaborating effectively with technical teams and business stakeholders. Skills That Will Set You Apart • Hands-on experience with Databricks., • Familiarity with Customer Care & Billing (CC&B) systems and data., • Experience with Google Analytics, website engagement metrics, or digital product analytics., • Knowledge of utility customer rate structures, billing patterns, or usage-based recommendations., • Experience supporting customer-facing digital products., • Experience working with data quality and validation processes in a regulated environment. What Makes This Opportunity Different? Meaningful Impact: Your analytical work will help improve digital tools and customer experiences. Interesting Technical Challenges: Work with rich datasets, advanced metering information, and enterprise analytics platforms. Professional Autonomy: Bring your judgment, challenge assumptions, investigate problems, and make recommendations that matter. Cross-Functional Collaboration: Partner with talented professionals across analytics, engineering, product management, and business operations. Long-Term Career Potential: This contract-to-hire opportunity offers the possibility of transitioning into a permanent position based on performance, business needs, and mutual fit. Who Thrives in This Role? You'll be successful here if you're someone who: • Is naturally curious and motivated to understand why the numbers tell a particular story., • Enjoys investigating complex problems and finding solutions others may overlook., • Balances independent analytical work with productive team collaboration., • Values accuracy, data integrity, and sound decision-making., • Takes ownership of deliverables and follows through on commitments., • Enjoys turning technical complexity into practical business recommendations., • Is comfortable working with structured processes while continuously seeking better ways to accomplish results. Ready to Make an Impact? If you have a strong analytical mindset, hands-on utility and AMI data experience, and a passion for transforming complex information into meaningful outcomes, we'd welcome the opportunity to connect. Apply today and put your analytical expertise to work on projects that make a measurable difference. Nexus Staffing is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected characteristic.

Job Description LaBella Associates is looking for a Environmental Scientist/Geologist/Engineer to join our Environmental group in our Brooklyn NY office. Essential Duties & Responsibilities: • Performing field work within the 5-boroughs and NYC metropolitan area., • Performing soil, soil vapor, and groundwater sampling., • Performing / overseeing field activities and drilling on construction projects., • Performing Phase I inspections., • Collecting, recording, and organizing field data in a concise manner., • Data presentation, map creation, and report preparation., • Preparing deliverables on time and within budget., • Maintaining open communication with project team members., • Preparing work plans and proposals and managing projects in consideration of environmental goals, timelines, resource allocation, and budgetary requirements., • Providing oversight, direction, management, and mentoring to environmental staff., • Supporting various environmental projects to ensure their successful planning, implementation, and completion., • Representing the company in a professional manner and in line with firm's core values., • Conducting work to professional standards and following firm's QA/QC policy., • Collaborating with multidisciplinary teams, including environmental specialists, engineers, contractors, and government agencies, to achieve project objectives., • Collecting and analyzing environmental data, preparing reports, and communicating project progress, outcomes, and recommendations to stakeholders and regulatory authorities., • Maintaining accurate project documentation, including environmental assessments, permits, reports, and correspondence, and ensuring compliance with record-keeping requirements. Requirements • B.S. degree in Geology, Environmental Science, or Engineering, • 0-5 years of experience in a related local environmental position, • 40 Hour OSHA HAZWOPER certification required., • Experience with AutoCAD and / or ArcGIS required., • Possess excellent verbal, written and interpersonal communication skills., • Must be team oriented with strong capability to motivate others., • Must be a highly motivated self-starter., • Ability to work in a fast-paced environmental consulting team environment., • Ability to work within a multi-disciplined group of professionals., • Organized with strong attention to detail, • Possess technical knowledge and experience with NYC E-designations, and brownfield sites within various programs, including the New York City Voluntary Cleanup Program (VCP) and New York State Brownfield Cleanup Program (BCP) as well as Superfund (CERCLA)., • Highly motivated, with excellent client service skills and a positive attitude, • Strong problem-solving skills, • Valid NYS driver’s license, lean driving record, and reliable transportation Salary Range: ($65,000 - $85,000) The specific salary offered may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. Benefits Body, mind, and wallet—LaBella’s benefits support a holistic approach to your health and wellness, creating the foundation for physical, mental, and financial well-being. Our benefit offerings cover the must-haves (healthcare and retirement), the just-in-cases (insurances and employee assistance programs), and the cherry-on-tops (fitness reimbursements, year-end incentive pay, and tuition assistance). Visit our website for more details on benefits listed below. • Flexible Work Schedule, • Health/Dental Insurance, • 401k Plan with Employer Match, • Short & Long Term Disability, • Profit Sharing, • Paid Time Off, • Leadership Development Program, • Fitness Reimbursement, • Tuition Reimbursement, • Referral Bonus Program, • Wellness Program, • Team Building Events, • Community Service Events Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time, with or without notice. LaBella is committed to facilitating a culture where diversity, equity, and inclusion are respected, valued, and celebrated by implementing thoughtful, practical, and innovative strategies that support our employees and serve the communities in which we reside. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. LaBella Associates does not accept unsolicited resumes from recruiting professionals or agencies, nor do we accept resumes from any source that does not reference a specific, open position. LaBella Associates will not be responsible for any fees arising from the use of resume submitted by recruiting professionals or agencies that do not have a current placement fee agreement with LaBella Associates. All initial communication with recruiting professionals or agencies must go through human resources.

Job DescriptionSTEM Expert – Chemistry & Computational Chemistry (PhD) Role Type: Contractor Location: Remote – Worldwide Job Summary We are seeking chemistry experts to support an AI training project focused on scientific reasoning, chemical analysis, computational chemistry, and model evaluation. Prior AI experience is not required. Required Skills • Organic, Inorganic, Physical, or Analytical Chemistry, • Computational Chemistry and Molecular Dynamics, • Reaction Mechanisms and Synthesis Planning, • Spectroscopy and Electronic Structure Methods, • Python and Scientific Programming, • Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit, • Quantitative Analysis and Scientific Reasoning, • Technical Documentation and CommunicationResponsibilities, • Design and evaluate chemistry problems and workflows., • Analyze reaction mechanisms, spectroscopy, and simulation data., • Optimize experimental protocols and computational methods., • Support chemistry-related AI model testing and benchmarking., • Document scientific findings and provide expert feedback.Qualifications, • PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a related field., • Hands-on laboratory or computational research experience., • Deep expertise in at least one relevant chemistry domain., • Strong Python or specialized scientific software skills., • Excellent analytical, problem-solving, and communication skills.Preferred Qualifications, • Postdoctoral, academic, or research scientist experience., • Peer-reviewed publications or scientific software contributions., • Experience with AI/ML-assisted chemistry workflows., • Background in drug discovery, reaction prediction, or retrosynthesis.