Data scientist jobs in Newark, New JerseyCreate job alerts

The Lappalainen & Sanjana Labs at the New York Genome Center (NYGC) are looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, computational biologists, bioengineers, and human geneticists. The successful candidate will be jointly mentored by Drs. Tuuli Lappalainen and Neville Sanjana at the intersection of statistical genetics and functional genomics analyses and tech development and have the opportunity to also be affiliated with New York University. About the labs The Sanjana lab works at the intersection of genomics and bioengineering. We are curious about many things and are passionate about what we do. We primarily develop new technologies for hacking and understanding biological systems. We try to learn from nature and to re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, differentiate human neurons from stem cells, watch synapses rewire, find vulnerabilities in cancer cells and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental biological discovery. The Lappalainen lab studies functional genetic variation in the human populations by analyzing how genetic variants affect molecular and cellular traits, and how these cellular changes contribute to genetic risk for both common and rare diseases and traits. We analyze these questions both by computational analysis of large genomic, transcriptomic and multi-omic data sets, and by experimental approaches. Our lab includes experts across the field of systems genetics, from statistical genetics and genomics to molecular genomics. About the position We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. This position will be at the intersection of computational and wet-lab work, with co-mentorship by both PIs and membership in both labs. The projects for the postdoctoral scientist combines cutting-edge human genetics and genome technology development, with possible projects in CRISPR and single-cell multi-omics, and its integration with GWAS and eQTL data, including novel data from projects such as Developmental GTEx. Recently, the Sanjana and Lappalainen labs developed STING-seq (Systematic Targeted Inhibition of Noncoding GWAS loci with sequencing): ___. We seek to extend STING-seq to new cell types (including primary cells) and develop next-generation genome editing approaches to answer fundamental questions in human genetics, GWAS and disease biology. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application. The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, statistical genetics, biochemistry, computational biology and/or functional genomics and will have prior peer-reviewed publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. This position can be tailored to a candidate with strong molecular biology skills who are looking to improve their computational skills, or to a candidate with a stronger background in computational genetics or genomics looking to develop expertise in cutting-edge experimental methods. About NYGC: A cutting-edge environment for genomics NYGC is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Salary The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

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  5+ 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.

Company Insight: A leading global investment firm is expanding its sector-focused data science capability, embedding data more deeply into the investment research process. This team partners directly with investors to generate differentiated insights by applying rigorous analytics to large, complex, and often unstructured datasets. This is a high-impact role for someone who enjoys turning raw data into clear, decision-ready insight — and who wants their work to directly influence how capital is allocated. You’ll operate as a thought partner to investment teams, bringing structure, speed, and analytical rigour to how data informs research and portfolio construction The Role: • Partner with investment teams to understand their research approach and identify how data can strengthen decision-making, • Analyse data from multiple structured and unstructured sources to test complex investment theses, • Rapidly assess data relevance, detect emerging trends, and separate signal from noise, • Identify the key operational and fundamental drivers across companies and sectors, • Deliver high-quality research outputs in a clear, concise format tailored for senior investors, • Help build and evolve scalable datasets, analytical frameworks, and decision-support tools Experience/Skills Required: • Strong intellectual curiosity with a genuine interest in markets and investing, • Ability to quickly digest fundamental research and translate narratives into data-driven analysis, • Advanced Python skills (including Pandas) and strong SQL, • Solid background in statistical modelling and quantitative analysis, • Experience working with large, complex, or unstructured datasets, • Prior exposure to investment management, equity research, or buy-side analytics, • Bachelor’s degree in statistics, engineering, economics, computer science, physics, or a related discipline Pre-Application: • Please do not apply if you are looking for a contract or remote work, • Please ensure you meet the required experience section prior to applying, • Allow 1-5 working days for a response to any job enquiry

Company Insight: A leading global trading firm is expanding its alternative data initiative and is seeking an experienced Data Scientist to help drive the next phase of signal discovery and deployment. Sitting at the intersection of quantitative research and live trading, you’ll work with datasets that are large, messy and unstructured - using rigorous analytical methods to determine what is predictive, what scales, and what ultimately makes it into production. The team operates in a research-driven environment with fast feedback loops, close proximity to trading, and a strong emphasis on measurable impact rather than theoretical modelling. The Role: • Evaluate and analyse a wide range of alternative datasets (transactional, behavioural, geospatial, web-derived, etc.) to identify potential trading signals, • Design and run experiments to assess data quality, stability, coverage and predictive power, • Build statistical and machine learning models to transform raw alternative data into usable features and signals, • Develop robust analytical frameworks to monitor signal decay, bias and performance over time, • Communicate findings clearly to quantitative researchers and key stakeholders, influencing research and trading priorities Experience/Skills Required: • A strong academic background in a quantitative field from a top-tier university, • 2–5 years of experience in a data science or research role within a hedge fund, market maker, or investment bank, • Demonstrated experience working with alternative data and assessing its real-world usefulness, • Advanced Python skills and strong SQL capability for large-scale data analysis, • A solid understanding of statistics, experimentation, and applied machine learning in noisy environments Pre-Application: • Please do not apply if you are looking for a contract or remote work, • Please ensure you meet the required experience section prior to applying, • Allow 1-5 working days for a response to any job enquiry

All locations Hartford, United States; New York, United States; San Francisco, United States; Location: Hartford, San Francisco, or New York City Job Description The Insure AI Underwriting team is an experienced business unit structuring risk-transfer solutions for corporates and start-up companies utilizing AI as part of their product, services, or processes. In particular, we seek to drive insurance for the uncertainty of machine learning model errors, including GenAI applications. Your focus will be on working with data science teams at corporates and start-ups to assess the quality of the implementation of the machine learning systems and estimate the probability of predictions falling short compared to the actual outcomes or quantify the hallucination rate of GenAI applications. In addition, you will build relationships with leading research institutions in the area of statistics and computer science, contribute to the team's research and academic publications, and you will keep the team up to date with the latest developments in the area of machine learning risk quantification, e.g. model error or hallucinations rate assessments, copyright infringement by GenAI models, and AI discrimination risk. We are looking for a Research Scientist who combines a strong background in statistics or computer science with a business oriented mindset to develop financial solutions for AI risk and who will help us shape Munich Re's future. The position can be based either in the Bay Area, or in New York City or Hartford, CT. Education and Experience • PhD degree in Statistics, Computer Science, Data Science or related fields, • Minimum of 5 years of relevant experience in a data scientist role with start-up companies or as part of a graduate degree in Statistics, Computer Science, Data Science or related fields Knowledge and Skills • Excellent understanding of modern machine learning and GenAI techniques, best practices in their implementation at scale and performance evaluation, • Excellent understanding of conformal prediction and other distribution-free uncertainty quantification approaches and their limitations, • Excellent networking and stakeholder management skills, • Excellent abstract reasoning and communication skills, • Ability to reduce complexity and communicate concisely the most important points of a deal opportunity to senior management, • Excellent project management skills, • Strong negotiation skills, • Strong ability to quickly understand new and complex business cases, • Good working proficiency in Python, or comparable programming languages, • Fluency in English is a must, fluency in German a plus, • Highly ambitious, entrepreneurial, and innovative mindset, curiosity and drive, • Didactic and intercultural competence, • Willingness to work in deal teams distributed across different time zones and continents We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are an equal opportunity employer. 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. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. The Company is open to considering candidates in numerous locations, including California. The salary ranged posted below applies to the Company's Hartford, CT location. • The salary range for this position is $ 138,400 - $203,000, plus opportunity for company bonus. In addition, the company provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO)., • The salary estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

Senior Computer Vision Scientist Fully Remote - HQ in New York, New York $190,000-210,000 base salary + equity THE COMPANY Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies. THE ROLE • You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals, • You will report directly to senior leadership and work closely on technical direction, • Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications, • You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling, • You will play an integral role of building out the AI team and scaling out its product, • Act as a thought leader role for AI across the business, mentoring junior team members YOUR SKILLS AND EXPERIENCE The successful Senior Computer Vision Scientist will likely have the following skills and experience: • 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems, • Experience working in a scaling startup is preferred, • Expertise in Python (TensorFlow, PyTorch) for production-grade work, • Commercial experience building novel AI platforms with large datasets, • History of working with and managing real-time AI applications in production settings, • Cloud experience in AWS, Azure or GCP, • DevOps exposure with CI/CD pipelines preferred, • History of working on models from concept to production / end-to-end / 0-1, • Applied research background in a commercial setting required, • Publication and/or patent history highly preferred, • Experience in settings wearing multiple hats, • Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred, • History of partnering with non-technical stakeholders required, • Experience owning projects, • PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar THE BENEFITS A competitive base salary of $190,000-210,000 + benefits + equity HOW TO APPLY Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page. KEYWORDS Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As the Research Assistant, you will work on National Institute for Health (NIH)-funded and other studies investigating behavioral and cognitive neural correlates of toddlers, preschoolers and children with autism and related neurodevelopmental conditions. You will support the Senior Research Scientist - Director of the Autism Center and staff with MRI and behavioral data collection, database management, data quality control, analysis, and manuscript preparation. This is a full-time, non-exempt hybrid position (minimum of 4 days in office per week) located in our Midtown, New York office. You Will: • Support the Principal Investigator and site clinicians in outreach, recruitment and collection of behavioral data from participating children and/or parents., • Collect physiological data, eye tracking for assigned studies and help acquire neuroimaging data while ensuring a high-quality experience for research participants., • Protect personal and sensitive information and IRB related documentation., • Conduct regular data quality control., • Collaborate with the Principal Investigator and research scientists in data analyses, result interpretation and manuscript preparation., • Conduct and summarize scientific literature review., • Present findings at team meetings., • Perform additional job-related duties as assigned. You Have: • Bachelor's degree in Psychology, Neuroscience or other related scientific fields (or anticipated by the end of June 2026)., • Some clinical and/or research experience in autism or related neurodevelopmental conditions., • Proficiency with Microsoft Suite; familiarity with R and/or python., • Attention to detail: Strong focus on accuracy and completeness., • Time management: Ability to meet deadlines and manage workload., • Problem-solving: Proactively address issues and find solutions., • Multitasking: Capable of handling several tasks simultaneously., • Proficiency in software: Familiarity with MS Office, Google Workspace, or relevant software., • Interpersonal skills: Strong teamwork, collaboration, compassion and understanding, including with toddlers, caregivers and children with autism., • Flexibility: Adaptable to changing needs and priorities. #LI-hybrid Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Equal Opportunity Employer The Child Mind Institute is committed to creating an inclusive culture where all employees feel welcomed and valued. The Child Mind Institute is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation. Accommodations Child Mind Institute Inc. complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact ___

Sr Medical Scientist - China studies experience & Chinese language as a plus - Argentina, Brazil, Mexico, Canada or US Home Based Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Engages with outside experts/consultants/advisors to coordinate the acquisition of necessary medical/scientific input to prepare the respective medical plans., • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise., • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director., • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed., • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed., • Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical data review and eligibility review., • Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set-up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Escalates ongoing and newly developed study concerns such as at-risk project deliverables and out of-scope tasks to the project leads in a timely manner., • Attends and present at Trusted Process meetings and may participate in internal and external audits. Acquires basic understanding and knowledge of ongoing protocol designs and disease related terminology and pathology. * Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. * May manage limited number of direct reports. May participate or conduct interviews Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Sanjana Lab at the New York Genome Center and NYU's Department of Biology is looking for a motivated individual to work as a Research Assistant within a highly creative and dynamic research team of scientists, engineers, and life science entrepreneurs. Our team works on a diverse array of projects that span genomics, bioengineering, cancer biology and neuroscience. We focus on developing new genome engineering technologies to understand gene regulation, development, tumor biology and genetic drivers of disease. Recent work from the group has included in vivo and RNA-targeting CRISPR screens, pairing CRISPR perturbations with multiomic single-cell readouts, engineering T cell therapies and precise genome editors, and uncovering cis-regulatory elements in the human noncoding genome. We are seeking a motivated Research Assistant to contribute to ongoing projects in genome editing, functional genomics, and cell-based neurobiology, including perturbation-based single-cell approaches. We request that all applicants complete the skills questionnaire here before applying for the position: ___ The candidate will work closely with experienced postdoctoral fellows and senior scientists, receiving hands-on mentorship in experimental design, cellular neurobiology, advanced microscopy, and data analysis. This role offers substantial opportunities for technical and scientific growth within a top-tier, interdisciplinary research environment. Responsibilities include, but are not limited to: * Plan, execute and troubleshoot complex biological experiments both independently and in close collaboration with colleagues. * Design and carry out experiments involving molecular biology, mammalian and neuronal cell culture, immunoflourescence, advanced fluorescence microscopy (e.g., spinning-disk confocal) and computational biology, with opportunities to develop deep expertise in these areas. * Manage small independent research projects while contributing to larger team-based efforts. * Analyze and interpret experimental data, including quantitative image-based readouts. * Engage with primary scientific literature and consult with colleagues to refine experimental approaches, troubleshoot challenges, and propose solutions. * Maintain accurate, detailed experimental records and communicate results clearly through presentations, lab discussions, and written documentation. This position is ideal for a highly motivated early-career scientist seeking rigorous training in cell-based neurobiology, advanced imagining and perturbation-based functional genomics within a leading interdisciplinary research environment. Position Requirements: * BS in Biology, Neuroscience or a related field, with hands-on laboratory experience in experimental biology. * Demonstrated experience with immunofluorescence and fluorescence microscopy; prior exposure to advanced microscopy such as spinning-disk confocal is highly desirable but not required. * Evidence of independent thinking and initiative through prior research projects. * Ability to collect, analyze and interpret experimental data with exceptional attention to detail and rigor in experimental execution and record-keeping. * Strong motivation, scientific curiosity and eagerness to learn new techniques within a highly collaborative and productive environment. * In addition to submitting your resume and cover letter through this site, please also complete this web form: ___ Competencies * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. * Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. * Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $46,000-55,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Non- Exempt This position is not eligible for visa sponsorship or relocation assistance.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$197,400—$246,750 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time. Overview Responsible for data science, machine learning algorithms, statistical analysis, complex data analysis and the development of quantitative models that are designed to solve key business problems in claims, marketing, underwriting, and many other insurance-based functions. Work directly with business partners and stakeholders to lead the thought process to identify opportunities for applying advanced analytics solutions while ensuring business benefits are realized. The candidate will drive the maturity of the organization's analytical capabilities by progressing from supervised learning to true Artificial Intelligence. Detects, trouble-shoots, and foresees data and analysis issues and implements creative solutions. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Responsibilities • Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes., • Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends., • Perform descriptive and diagnostics analysis to provide actionable insights for a range of business customers via effective visualization., • Perform prescriptive analysis seeking for statistical inference providing information that will drive strategic decision making related to marketing, claims and underwriting., • Develop predictive models and machine learning solutions to investigate problems, detect patterns and recommend solutions. Work with Information Technology (IT) to integrate the model into production environment., • Performs model maintenance and post installation monitoring, including performance tracking, model refit/refresh, documentation, and version control., • Design best in class sophisticated analytical solutions using advanced data science techniques like Text Mining, Natural Language Processing (NLP), Image Recognition, Generative AI and Robotic Process Automation (RPA)., • Research and recommend new data, tools, modeling techniques, and vendor solutions to enrich analytics solutions in alignment to policy lifecycle. Knowledge and Requirements • Professional statistics/quantitative skills., • Hands-on experience of solving business problem with various multi variate statistical methods including generalized linear model, survival model, time series, mixed effects model etc., • Deep understanding and practical experience of applying machine learning techniques and algorithms, such as SVM, GBM etc., • Familiar with the whole life cycle of predictive modeling, including data provision, model development, validation and testing, model deployment., • Strong Communication and Presentation, • Skills in front of diverse audience. Proficient with manipulating data with enterprise-scale database systems (SQL, SAS)., • Experience with BI tools such as Tableau, Spotfile etc. is required., • Hands on experience with Big Data / Hadoop / Spark for 2-3 years is required., • Proficient with at least one scripting language such as R, Python, or Java., • Experience with version control workflow such as Git is preferred., • Experience with web app development is preferred. Education and Experience • PhD with 2-3 years of experience, or Master's with 5 years of experience or Bachelors with 7 years of experience and education in Statistics, Economics, Computer Science, Mathematics or related field preferred., • At least 5 years of progressive experience in data science, statistical analysis, and data modeling; 5 years of experience with statistical software. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $139,000.00 - USD $180,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$197,400—$246,750 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. • Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers., • Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models., • End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation., • Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation., • Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems., • Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology., • 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis)., • Proven track record of shipping high-quality data products, models, or features at scale., • Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions., • Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets., • Ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI., • Excited to join a dynamic, hybrid team in either San Francisco or New York City., • Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant)., • Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems., • Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray)., • Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our rapidly expanding CLIA certified Molecular Diagnostic Laboratory. Clinical Genomic Scientist (CGS) will report to the Laboratory Directors and will be responsible for clinical analysis and interpretation of Whole Genome Sequencing (WGS) data. Responsibilities include but are not limited to variant curation and interpretation following the most current ACMG and ClinGen guidelines, genotype-phenotype correlation, variant database maintenance and mining, assistance with drafting clinical reports, and assisting Lab Directors with other day-to-day tasks. Clinical Genomic Scientists will work as a part of a team of highly experienced molecular diagnostic laboratory and informatics staff to produce clinical reports from WGS data. These positions are anticipated to be remote or hybrid remote / onsite. Key Responsibilities include, but are not limited to: * Identify, annotate and investigate the clinical significance of variants found in NGS-based clinical tests; * Prepare variant assessment summary, classify variants as per ACMG criteria, maintain accurate and detailed records of variant classification; * Identify and prioritize variants of interest using information from clinical notes; * Assist with literature review for variants of clinical interest; * Review results of Sanger sequencing qPCR, chromosomal microarray, or other assays used for confirmation of NGS findings and prepare variant level summary for clinical reporting; * Prepare presentations for clinical case reviews and present evidence for multi-disciplinary review meetings; * Participate in new assay validations and translational clinical activities as assigned. Position Requirements: * Masters or PhD in molecular biology, human genetics, biochemistry, or a related field is required. * Experience in searching and extracting information from commonly used genomics databases such as ClinVar, gnomAD, HPO, NCBI etc; * Strong knowledge of Molecular Biology and Mendelian genetic diseases; * Excellent general laboratory and organizational skills, including the ability to work independently with minimal supervision and to train others in laboratory methods; * Strong communication skills to work as a member of a collaborative team * Thrives in a fast-paced, rapidly changing, start-up like environment; * Self-motivated and capable of analyzing and solving complex problems through innovative thought and experience. Preferred * Prior experience working in a high volume molecular diagnostic laboratory; * Experience with germline variant classification and gene curation as per ACMG and ClinGen guidelines; * Previous exposure to NGS based molecular diagnostic testing such as WGS, WES, and gene panels; * Knowledge of phenotype ontologies; * Prior experience with variant curation and interpretation from the clinical genome or exome data is highly desirable; * Prior experience with somatic variant curation, database mining and reporting is a plus. Competencies * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. * Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. * Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Work Flexibility NYGC has established a flexible work policy to give employees and other staff more ability to balance their work, personal commitments, and commuting challenges. The incumbent in this position is eligible for a flexible work schedule, a hybrid remote work arrangement or a fully remote work arrangement with supervisory approval. Salary The pay range for this position is $85K-100K per year; base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

Medical Director- Psychiatry (US Based Only - Remote) Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities *Must be located in the United States with no sponsorship needs to be considered for this role. *Provides medical oversight of assigned clinical studies in the duty as a medical monitor. Often serves as primary medical contact for customers for assigned clinical studies. *Provides medical input and oversight in support of the Drug Safety and Pharmacovigilance department. *Responsible for protocol design and development, upon request. Provides input into protocol amendments. *Develops and delivers project-specific and therapeutic training to project team members and clinical site staff; provides training to customer staff as needed. *Provides medical and therapeutic input to Study Start Up, Feasibility, and Subject Identification efforts. This activity includes, but is not limited to, review of Informed Consent Templates and Subject-Facing Materials, and input into site feasibility evaluations. *Provides medical input into data collection tools, monitoring plans, and review and analysis plans. *Provides oversight to assigned Medical Scientist staff and Medical Director colleagues to review clinical data. Presents identified trends and issues, and mitigation strategies, to customers and project team members to minimize risks to subject safety or integrity of study data. *Provides after-hours medical coverage for clinical studies. *Adheres to all enterprise policies, work instructions, standard operating procedures, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. *Maintains in-depth knowledge of FDA and worldwide drug development regulations and national and ICH Good Clinical Practice (GCP) guidelines. *May support responses to Requests for Proposals (RFPs) or Bid Defense Meetings (BDMs), upon request. *May provide input to clinical development or regulatory teams within the Company, upon request. *May represent the Company at scientific meetings, upon request. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $146,000.00 - $277,000.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Medical Director- Psychiatry (US Based Only - Board-certified in Psychiatry is required) Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities *Must be located in the United States with no sponsorship needs to be considered for this role. • Board-certified in Psychiatry is required *Provides medical oversight of assigned clinical studies in the duty as a medical monitor. Often serves as primary medical contact for customers for assigned clinical studies. *Provides medical input and oversight in support of the Drug Safety and Pharmacovigilance department. *Responsible for protocol design and development, upon request. Provides input into protocol amendments. *Develops and delivers project-specific and therapeutic training to project team members and clinical site staff; provides training to customer staff as needed. *Provides medical and therapeutic input to Study Start Up, Feasibility, and Subject Identification efforts. This activity includes, but is not limited to, review of Informed Consent Templates and Subject-Facing Materials, and input into site feasibility evaluations. *Provides medical input into data collection tools, monitoring plans, and review and analysis plans. *Provides oversight to assigned Medical Scientist staff and Medical Director colleagues to review clinical data. Presents identified trends and issues, and mitigation strategies, to customers and project team members to minimize risks to subject safety or integrity of study data. *Provides after-hours medical coverage for clinical studies. *Adheres to all enterprise policies, work instructions, standard operating procedures, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. *Maintains in-depth knowledge of FDA and worldwide drug development regulations and national and ICH Good Clinical Practice (GCP) guidelines. *May support responses to Requests for Proposals (RFPs) or Bid Defense Meetings (BDMs), upon request. *May provide input to clinical development or regulatory teams within the Company, upon request. *May represent the Company at scientific meetings, upon request. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $146,000.00 - $277,000.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Sr Medical Scientist Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Engages with outside experts/consultants/advisors to coordinate the acquisition of necessary medical/scientific input to prepare the respective medical plans., • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise., • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director., • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed., • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed., • Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical data review and eligibility review., • Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set-up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Escalates ongoing and newly developed study concerns such as at-risk project deliverables and out of-scope tasks to the project leads in a timely manner., • Attends and present at Trusted Process meetings and may participate in internal and external audits., • Acquires basic understanding and knowledge of ongoing protocol designs and disease related terminology and pathology., • Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans., • May manage limited number of direct reports. May participate or conduct interviews., • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Engages with outside experts/consultants/advisors to coordinate the acquisition of necessary medical/scientific input to prepare the respective medical plans., • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise., • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director., • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed., • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed., • Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical data review and eligibility review., • Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set-up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Escalates ongoing and newly developed study concerns such as at-risk project deliverables and out of-scope tasks to the project leads in a timely manner., • Attends and present at Trusted Process meetings and may participate in internal and external audits., • Acquires basic understanding and knowledge of ongoing protocol designs and disease related terminology and pathology., • Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans., • May manage limited number of direct reports. May participate or conduct interviews. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $79,800.00 - $139,600.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

The Team and Leader Statement Executive Technology Services is an executive-level advisory service that delivers expert insight and guidance tailored to each member's context and most critical initiatives. EITL consists of 7 areas of expertise (domains) that cover several areas within IT: Applications, Data & Analytics, Enterprise Architecture, Infrastructure & Operations, Program & Portfolio Management, Security & Risk, Sourcing & Vendor Management. Gartner's Executive Partners specialize in one of the 7 domain areas and equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow. Our Associates enjoy a collaborative work environment, exceptional career development as well as unlimited growth potential. If you like working with a generous, supportive, high-performing team, Gartner is where you want to be. Job description • You will manage a portfolio of 25-30 clients, typically Chief Data Officers, from Fortune 100 organizations and large high-tech companies., • As their Executive Partner, you will be delivering value through regular briefings, workshops, roundtables, webinars and by attending relevant Gartner events, etc., • As someone with previous practitioner experience, you will use your knowledge and expertise, along with additional Gartner resources and research, to coach and mentor your clients on critical initiatives and obstacles for today and tomorrow specifically within the Data & Analytics space., • Collaboration is key. You will work closely with several internal Gartner teams to ensure value is delivered. These can include sales teams, analysts, client support managers, and your peers across other domains., • This role is a client-facing position that requires a high level of Executive presence and ability to build trust and deliver value., • You will be responsible for member retention and for contributing toward growth in the region through direct support of Gartner Sales in prospect cultivation, account plan development and value demonstration activities., • This is a predominantly work-from-home role, though there will be some client and internal travel involved. Essential must-have skills We'd love to talk to you if you have: • 15+ years' experience with a primary focus in an executive Data & Analytics leadership role such as, Chief Data Officer (CDO), Chief Analytics Officer (CAO), Chief Data Scientist, Data Scientist, VP/Sr. VP Business Intelligence and/or Analytics/Business Analytics within a Fortune 500 company., • Modern technical skills and subject matter expertise such as:, • CDO Focus: Advising on enterprise-wide data and information strategy, governance, control, policy development & data optimization, • Information Management Focus: Leadership perspective in Business Intelligence, Analytics, and Master Data Management approach in key industry verticals, • Data Science Focus: Artificial Intelligence, Generative AI, Large Language Models, Natural Language Processing (NLP), Machine Learning, Conceptual Modeling, Statistical Analysis, Internet of Things (IoT), AI/BOTS, • Experience in one or more of the following application disciplines is also desired: Agile/Bimodal IT, DevOps, Lean Development, Mobile app development, Cloud app deployment, Integration Strategy and API Management, App Maintenance Methods and Outsourcing, App Portfolio Management, • Minimum bachelor's degree required #LI-MB2 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 160,000 USD - 194,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to___. Job Requisition ID:97027 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ___ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You'll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey. As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You'll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes. Responsibilities * Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units * Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions * Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer * Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making * Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership * Stay up to date on the latest advancements in data science and leverage cutting edge technology * Mentor, brainstorm with, and enable others within the DS team and broader Data organization Qualifications Education and Experience: * Bachelor's degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field * 5+ years of experience in data science, creating and deploying models * Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems. * Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models * Experience in experimentation to validate models' impact and ability to quantify that impact Technical Expertise: * Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker. * Experience with statistical modeling, A/B testing, and customer segmentation techniques. * Experience implementing and overseeing ML platforms and building unified data products across multiple domains. * Familiarity with online gaming platforms, trading systems, and marketing technologies. * Can write production level code, understand principles of programming Leadership & Soft Skills: * Strategic thinker with a proven ability to balance short-term results with long-term goals. * Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels * Collaborative team player who excels in cross-functional environments. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Job Title: Data Scientist Duration: 12 months Location: Hybrid (Newark, NJ) and requires your on-site presence on a reoccurring weekly basis as determined by your business. Your manager will provide additional details relative to the specific number of days you are expected to be on-site. Job Description: As a Data Scientist, you will partner with Machine Learning Engineers, Data Engineers, Business Leaders and other professionals to build GenAI and ML models to improve advisor experience, perform lead scoring, and increase sales revenue. You will implement AI and machine learning models that will deliver stability, scalability and integration with other advisor products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments, • Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales., • Apply hands-on experience to ensuring best-in-class model development., • Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement., • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure the successful deployment of ML models and application code on Prudential's AI/ML platform., • Bring a deep understanding of relevant and emerging technologies and embed learning and innovation in the day-to-day., • Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies., • Familiarity with Python, SQL, AWS, and JIRA., • Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts., • The Skills and expertise you bring:, • Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs., • Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions., • Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products., • Ability to influence business stakeholders and to drive adoption of AI/ML solutions., • Experience with agile development methodologies, Test-Driven Development (TDD), and product management., • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions, • Excellent problem solving, communication and collaboration skills, and stakeholder management Experience and/or deep expertise with several of the following:, • Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude)., • Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products., • Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities • Takes a lead role in preparation and project management of individual and multi-investigator proposals;, • Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables;, • Provides draft preparation, review and revision of grants and scientific writing., • Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission., • Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials., • Interacts with lab members to independently develop new grant proposals., • Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data., • Assists in the design and planning of functional genomics and genetic perturbation experiments; and,, • Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications;, • Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required;, • Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred;, • Experience with standard grant development concepts, practices, and procedures in a research environment preferred;, • Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays;, • Ability to collaborate with diverse teams of investigators and administrative personnel required; and,, • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments., • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. The salary range for this position is $62,000-78,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$197,400—$246,750 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Associate Research Scientist is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. • Experimental Design & Execution: Develop, implement, and optimize in vivo behavioral paradigms to model social aggression and social stress (e.g., CD1 resident-intruder, acute/chronic social defeat). Perform chemogenetic and optogenetic manipulations with rigorous behavioral/physiological readouts. Conduct and supervise surgical procedures, post-op care, and longitudinal behavioral testing in accordance with IACUC protocols., • Acquire and analyze electrophysiological data to build interpretable network models associated with aggressive and stress-related states, Apply signal processing, graph-theory, and statistical modeling to identify state-specific network dynamics and predictors of susceptibility/resilience., • Computational Methods & Tooling: Build and maintain custom analysis pipelines (Python/Matlab/R), image-analysis tools for quantification of neuronal markers. Ensure data integrity, code versioning, documentation, and reproducibility (SOPs, data dictionaries, analysis notebooks)., • Scientific Communication & Team Leadership: Lead figure/method preparation; contribute to manuscripts, talks, and grant applications (NIH/Foundations), Mentor junior staff, students, and trainees in behavioral, surgical, and computational techniques; foster an inclusive, safety-first lab culture, Coordinate cross-lab collaborations., • Compliance & Operations: Maintain IACUC protocols and training records; uphold animal welfare and biosafety standards, Contribute to lab infrastructure, equipment upkeep, and ordering; help streamline workflows within CERH/Department of Pediatrics., • Must have a doctorate degree Ph.D. in Neuroscience, Biomedical Engineering, Psychology, or related discipline., • Demonstrated expertise in rodent behavioral neuroscience and causal circuit methods (optogenetics and/or chemogenetics)., • 2-3 years of postdoctoral training required, • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines., • The ability to create a high-energy results-oriented work environment that encourages colleagues and staff to value each other's contributions., • The ability to share and celebrate success with colleagues and staff. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Check the links below: Please check the below links: SynergisticIT USA Today Article Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads i

The Department of Radiology at the Columbia University Vagelos College of Physicians and Surgeons invites applications for a faculty position as MRI Scientist within the Center for Advanced Diagnostic Research (CADRe). This position is open at all academic ranks, with the potential for a tenure-track appointment depending on the candidate's qualifications and career trajectory. This role is designed for a PhD-level scientist with expertise in magnetic resonance imaging who will contribute to and expand CADRe's mission through collaborative leadership in MRI sequence development, optimization, selection, and clinical-translational research. The MRI Scientist will work closely with radiologists, engineers, physicists, and clinical investigators to advance innovative MRI methodologies and their application in human studies. Salary and academic rank will be commensurate with experience and qualifications. Columbia University offers a highly competitive benefits package. Program Highlights CADRe is a multidisciplinary research center within Columbia Radiology focused on advancing imaging science, data-driven methodologies, and translational innovation. The center supports a broad portfolio of research spanning MRI physics, pulse sequence development, quantitative imaging, image reconstruction, AI-enabled analysis, and clinical validation. Columbia Radiology provides access to state-of-the-art MRI infrastructure across multiple clinical and research platforms, supporting close integration between technical development and clinical investigation at NewYork-Presbyterian Hospital and across CUIMC. Responsibilities -The MRI Scientist will be expected to: • Develop and sustain an independent and/or collaborative research program in MRI science, quantitative imaging, or related translational methodologies., • Provide scientific leadership in collaborative settings for MRI pulse sequence development, optimization, and selection in support of research and clinical studies within CADRe., • Partner with radiologists, clinicians, engineers, and medical physicists to design and implement human MRI research protocols, including early-phase and proof-of-concept studies., • Contribute to the advancement of novel MRI techniques, including quantitative MRI, advanced contrasts, accelerated imaging, and multimodal integration., • Support the translation of MRI innovations from technical development to clinical and population-based research applications., • Collaborate with CADRe investigators on grant development, including multiinvestigator and center-level proposals., • Publish high-impact, peer-reviewed research and present findings at national and international scientific meetings., • Participate in teaching and mentoring of graduate students, postdoctoral fellows, residents, and junior faculty., • Contribute to departmental and institutional research initiatives, working in close coordination with CADRe leadership, • PhD in Biomedical Engineering, Medical Physics, Electrical Engineering, Physics, or a closely related field. * Demonstrated expertise in MRI physics, pulse sequence development, or quantitative MRI methods., • Strong record of peer-reviewed publications., • Experience conducting or supporting human MRI research., • Experience with clinical-translational MRI studies and protocol development., • Familiarity with MRI reconstruction techniques, image analysis, or data science approaches., • Track record of extramural research funding or participation in funded collaborative projects. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Summary The Califano lab, in the Department of Systems Biology at Columbia University, is seeking exceptionally qualified candidates for a Postdoctoral Research Scientist position in the laboratory. Successful candidates will possess extensive expertise in wet-lab experimentation and advanced single-cell and spatial multi-omics technologies and will participate in highly competitive research programs aimed at producing innovative, high-impact publications. The ideal candidate will have outstanding scientific credentials, including first-author publications in leading journals and presentations at major international conferences relevant to single-cell biology, spatial genomics, systems immunology, cancer biology, stem cell biology, or related fields. We are particularly interested in candidates with demonstrated expertise in the development and application of spatially resolved and single-cell technologies, including spatial transcriptomics, spatial ATAC-seq, multiplexed spatial proteomics, CITE-seq, Perturb-seq, CROP-seq, CRISPR-based perturbation systems, and advanced single-cell library preparation and profiling methods. Candidates with strong backgrounds in immunology, cancer biology, stem cell biology, molecular and cellular biology, epigenetics, genetics, biomedical engineering, biochemistry, or related disciplines will be especially well suited. Experience integrating multimodal datasets-including transcriptomic, epigenomic and proteomic modalities-to define regulatory programs and cellular states within intact tissue architecture is highly desirable. Integration of quantitative analysis, high-throughput experimentation, and technology development is a hallmark of our department and laboratory. Accordingly, the Postdoctoral Research Scientist will: • Develop and apply cutting-edge spatial and single-cell multi-omics technologies to interrogate regulatory and signaling networks in complex tissue ecosystems., • Define cell-state transitions and regulatory circuits in physiologic and pathophysiologic contexts with current focus on cancer., • Design and implement CRISPR-based perturbation strategies (CRISPR, CRISPRi/a) to functionally test regulatory hypotheses derived from systems-level inference., • Integrate genomic, epigenomic, and proteomic datasets to elucidate molecular determinants of cellular phenotypes and their spatial organization., • Develop new methodological and computationally informed frameworks for dissecting regulatory logic and signaling network architecture within tissues. The successful candidate will be expected to thrive in a highly collegial and collaborative environment, mentor junior trainees, contribute to consortium-scale and multi-institutional projects, and participate in the preparation of fellowship and grant applications. Strong communication and scientific writing skills are essential. Our laboratory has an outstanding record of training and career placement, with former members advancing to academic faculty positions (including leadership roles) and senior positions in biotechnology and pharmaceutical industries. Minimum Qualifications • PhD in molecular biology, immunology, cancer biology, genetics, epigenetics, stem cell biology, biomedical engineering, biochemistry, or a related field., • Demonstrated record of first-author publications in peer-reviewed journals., • Expertise in spatial transcriptomics, spatial ATAC-seq, multiplexed proteomic imaging, and multimodal data integration., • Experience with CRISPR-mediated gene editing, perturbation screening (including single-cell CRISPR-based approaches), and gene regulatory analysis., • Familiarity with regulatory and signaling network modeling and systems biology frameworks., • Experience working with complex in vivo models and/or primary human tissues. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building:, • Salary Range: 64,350 - 66,300 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting., • Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The successful candidate will work in close collaboration with scientists in the Movement Recovery Laboratory on projects at the intersection of neuroscience and biomedical engineering. An initial goal will be to model neurostimulation recruitment-curve relationships by extending Bayesian recruitment curve methods to paired cortical-spinal stimulation and by building a researcher-friendly GUI around our existing Python library hbMEP. Responsibilities • Developing analysis pipelines for electrophysiological data from rats and humans., • Implementing, developing, and validating hierarchical Bayesian models of motor-evoked potential (MEP) recruitment curves., • Creating interactive visualization and dashboard tools., • Data mining, statistical analysis, and mathematical modelling., • Provides support for use of developed methods., • MSc degree in data science or equivalent qualification., • Development of analysis pipelines (Python preferred)., • Experience with Bayesian Generalized Linear Models (NumPyro, RSTAN preferred)., • Experience with developing visualization of electrophysiological data (e.g. tableu, matlab, matplotlib)., • Experience with git and ability to work collaboratively on software., • Must be able to communicate verbally and in writing in a professional and succinct manner and be open to feedback and collaboration., • Adept at solving problems quickly, efficiently, and independently. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

The Department of Dermatology at Columbia University is seeking a highly motivated Associate Research Scientist with an interest in adult mammalian stem cell homeostasis to join our group. The position will address the mechanistic regulation of adult cutaneous epithelial niches that may be compromised during aging and the impact of this dysregulation on tissue integrity, function and cancer. The Basic Science Research Group within the Department of Dermatology at Columbia University is an exciting, multidisciplinary workplace with excellent resources. We are seeking creative and highly motivated individuals interested in working in a dynamic research environment, where they will have the opportunity to gain diverse basic, pre-clinical and clinical research experience, and receive excellent mentoring. The candidate will be responsible for performing rigorous cell biology, biochemistry and bioinformatic analyses using well-defined mouse models targeting specific stem cell niches in the adult skin. The candidate will be responsible handling bioinformatic analyses focused primarily on single-cell and bulk RNAseq data sets. Candidates with prior experience in bioinformatics (transcriptomics and genomics), systems biology, or RNAseq data structure/analysis will be considered highly competitive. Candidates at minimum should have experience with standard bioinformatic analysis (differential expression, basic classification, genomics, data visualization, etc), statistics, and/or programming experience (R, perl, java, python, etc). Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Chemistry at Columbia University is looking to fill the position of Associate Research Scientist or Research Scientist in the Gonzalez research group. The successful candidate will have extensive experience in molecular biology, biochemistry, molecular biophysics, single-molecule biophysics, and/or fluorescence microscopy, with preference given to applicants with experience working with ribosomes, RNA, and/or membrane proteins and/or using single-molecule biophysics and/or fluorescence microscopy. Moreover, the successful candidate will be passionate about the communication of complex scientific concepts and have strong writing skills. In addition, the successful candidate will have a strong interest in the training and mentoring of junior scientists. Responsibilities will include assisting in the design, direction, performance, and oversight of independent projects aimed at characterizing the structural dynamics of biomolecules and investigating the contributions such dynamics make to biomolecular function; drafting and editing grant proposals, progress reports, and manuscripts; mentoring postdoctoral-, graduate-, and undergraduate researchers. Minimum Degree Required: Ph.D. Minimum Qualifications: Ph.D. in Biochemistry, Chemistry, Molecular Biophysics, Biological Sciences, Molecular Biology, or similar; minimum of completion of Ph.D. studies and expertise in the purification and labeling of proteins, biochemistry, molecular biophysics, single-molecule biophysics, and/or fluorescence microscopy. The qualified candidate will have a foundation in thermodynamics and its application to nucleic acids and proteins, as well as, a foundation in chemical kinetics and its application to biomolecular binding and folding Preferred Qualifications: 2-5 years of research experience after completing a Ph.D. for Associate Research Scientist candidates. 6-8 years of research experience after completing a Ph.D. for Research Scientist candidates Experience working with ribosomes, RNA, and/or membrane proteins; expertise in single-molecule biophysics and/or fluorescence microscopy; proficiency at building, optimizing, and/or maintaining laboratory-built fluorescence microscopes, particularly total internal reflection fluorescence (TIRF) microscopes; excellent analytical skills; experience using/writing data analysis scripts in common programs such as Python or MATLAB; strong writing skills; experience in writing grants and scientific research articles; the ability to work independently as well as collaboratively. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Columbia University, Robert N Butler Columbia Aging Center is seeking a Post-Doctoral Research Scientist to aid in grant writing, statistical analysis and day-to-day data management associated with multiple concurrent research projects of the Aiello Research Group. The Aiello Research Group seeks to identify the interaction and influence of social and biological factors on long-term health outcomes, including the effect of socioeconomic position, stress and infection on chronic disease and mental health outcomes. We also investigate preventive measures for reducing infectious disease transmission in the community setting with a focus on non-pharmaceutical interventions. We aim to reduce social disparities in infection, chronic disease, and mental health by conducting integrative research across areas such as epidemiology, gerontology, sociology, infectious diseases, immunology, and laboratory research. Primary Responsibilities • Collaborate on or lead statistical-related analysis for scientific presentations, manuscripts, and grant applications; produce tables and figures based on study results, • Work with the principal investigator, project director, associate research scientist, student researchers, and other collaborators to develop and execute clear, well-documented research projects and manuscripts, • Perform data auditing across multiple projects and assist with quality control, • Work with research team members and collaborators to identify appropriate variables for proposed analysis across projects, • Create datasets for new projects and integrate new variables with existing datasets as needed, • Assist or develop grant proposals, including performing literature reviews and running preliminary analysis, • Assist with research related administrative tasks including IRBs, MTAs, DUAs, and progress reports, • Take initiative to acquire new statistical and/or programming skills as needed REQUIRED QUALIFICATIONS: • PhD, ScD or DrPH in social sciences or public health, epidemiology, geography, or related field is preferred, • Experience in measurement and analysis of biological and social variables in the study of health and aging, • Strong interpersonal, leadership, and verbal/written communication skills, • Significant research experience evidenced by peer-reviewed publications, • Experience or willingness to gain expertise in various programming languages, • Demonstrated interest in the research topics investigated by the Aiello Research Group, • Subject to business needs, we may support flexible and hybrid work arrangements Options will be discussed during the interview process, • Appointments will be for 1-year, with continuation pending funding and progress, • The search will remain open for at least 30 days after the ad appears and will continue until the position is filled Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for Associate Research Scientist positions in the area of magnetically confined plasma research. There are up to 4 positions under consideration. The successful candidate will advance research in magnetically confined plasmas and support the broader goals of the Columbia Fusion Research Center. In the tokamak area, the candidate may conduct research on experimental tokamak facilities in the public sector. Examples include the DIII-D tokamak located at General Atomics or the National Spherical Torus Experiment Upgrade located at Princeton Plasma Physics Laboratory, or tokamaks located abroad. In the stellarator area, the candidate may conduct research in coil optimization, energetic particle physics, and other related activities. Activities may also be conducted in support of industrially sponsored research contracts originating from a wide array of sponsors, including concepts beyond tokamaks and stellarators. The successful candidate will also be expected to assist in the mentorship of more junior scientists, post-doctoral researchers, and students. In addition, the candidate is expected to conduct both supporting and independent research towards the execution of the Columbia Fusion Research Center research program, likely supporting multiple research awards. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent scientist research. To the rank of an associate research scientist, candidate's qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. The level of appointment is commensurate with experience. The earliest position is expected to begin on approximately Jan 1st 2026 or sooner if possible, with possible additional positions being filled later in 2026. The search will close no sooner than December 1st 2025 and will remain open until the positions are filled. Columbia University is an Affirmative Action/Equal Opportunity Employer. Minimum Qualifications: Ph.D. (or equivalent professional degree) in plasma physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent scientist research. To the rank of an associate research scientist, candidate's qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. Preferred Qualifications: Familiarity of working with magnetically confined plasma computational modeling tools and their application to interpret experimental or simulated data. Familiarity with magnetically confined plasma experimental data and measurement methods. Demonstrated track record of mentorship of junior scientists, post-doctoral fellows, or students. Publications in top-rated journals in the field and presentations at national and international conferences. Candidates should be open to relocation to the New York City area. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Machine Learning Scientist with a focus on deep learning models for biomolecular systems and drug discovery. Projects span development and training of new neural network architectures, design of active learning experiments in conjunction with experimental collaborators, derivation of scaling laws for biomolecular systems, and other topics. All projects involve interactions with team members in the AlQuraishi lab as well as academic and industry partners in three major consortia: OpenFold, AISB (AI Structural Biology Network), and OpenBind. Responsibilities High-level (dependent on specific scientific project): • Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles., • Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models., • Devise experiments to understand scaling behavior of biomolecular models., • Develop new ideas, write code, run experiments, analyze data, and prepare reports., • Be an active member of one or more highly collaborative teams., • Stay current with the ultrafast-paced nature of biomolecular machine learning., • Ph.D. in computer science / machine learning, computational biology, or related quantitative fields., • Extensive machine learning experience, including design, training, and deployment of complex neural architectures., • Extensive programming experience in Python. Columbia University is committed to the hiring of qualified local residents.

The Opportunity This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Associate Research Scientist with the Division of Cardiology is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. The primary focus of the Targoff Lab is to investigate the molecular and cellular mechanisms underlying cardiovascular development and regeneration. We accomplish these goals through the use of zebrafish as a model system and expand our studies into the fields of transcriptional regulation, cardiac mechanobiology, and stem cell biology. We utilize an innovative combination of genetic, live-imaging, single cell genomic, and transgenic approaches. We seek an energetic and inquisitive scientist who will work in a highly collaborative environment and who demonstrates critical thinking and academic rigor. Outstanding and exceedingly motivated candidates with backgrounds in developmental biology, genetics, and molecular biology. Key Responsibilities • Perform molecular biological experiments., • Perform confocal imaging., • Perform transcripomic anaylsis., • Carry out fully planned experiments., • Manage animal colonies (zebrafish husbandry) and performing animal work., • Interpretation of data and keeping records of results., • Contribute to the preparation of reports and publications., • Participation in seminars, conferences, lab meetings, and grant writing. Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. • PhD in Epidemiology or Biostatistics or relevant area, • 2-3 years of postdoctoral training required (applicable only for rank of Associate Research Scientist), • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines., • The ability to create a high-energy results-oriented work environment that encourages colleagues and staff to value each other's contributions. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Engineering and Applied Sciences (SEAS) at Columbia University in the City of New York invites applications for an Associate Research Scientist position in the areas of AI security & reliability, AI systems, data management, knowledge-grounded models, and enterprise automation within the Infosys Topaz Columbia University Enterprise AI Center. The Center is a joint initiative between Columbia University and Infosys, focused on advancing the design, governance, and adoption of responsible, human-centered AI systems. The successful candidate will be expected to conduct and publish original research areas such as AI security & reliability, AI systems, data management, knowledge-grounded models, and enterprise automation. The position emphasizes applied innovation-designing, prototyping, and evaluating practical systems and tools that demonstrate both technical rigor and business impact. Candidates will work in close collaboration with Columbia faculty, Ph.D. students and Infosys engineers to contribute to joint publications, open-source releases, and research demonstrations, while helping to translate research outcomes into Infosys' internal platforms and client-facing solutions. The Associate Research Scientist will also mentor students and interns, provide technical input on exploratory research directions, and participate in the preparation and review of proposals. The position involves close engagement with Infosys' Topaz ecosystem-offering access to large-scale enterprise AI deployments and global data challenges. The successful candidate will represent the Center in research conferences, academic collaborations, and industry forums, helping to shape its intellectual and practical contributions to the responsible AI landscape. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent research and contribute to collaborative projects.To the rank of an associate research scientist, candidate's qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. This is a multi-year (three-year, renewable) research appointment, offering the opportunity to pursue independent and collaborative research within Columbia University's vibrant academic environment and Infosys' global research network. The level of appointment and salary will be commensurate with experience. The earliest position is expected to begin on approximately Jan 1st 2026 or sooner if possible, with possible additional positions being filled later in 2026. Candidates should be open to relocation to the New York City area. Minimum Qualifications: Ph.D. (or equivalent professional degree) in Computer Science, Electrical Engineering, or a closely related field, with a research focus in (1) security, reliability, and trustworthiness of AI models and agents; or (2) data systems, AI/ML infrastructure, or related areas. Experience with building domain-specific agentic applications, HCI/usability, or secure enterprise AI or coding agents is a plus. 2-5 years of postdoctoral or industry experience, ideally involving prototype development or applied research. Clear communication skills and an ability to work effectively at the interface of academia and industry. Preferred Qualifications: Demonstrated track record of mentorship of junior scientists, post-doctoral fellows, or students. Strong record of publications, patents or deployed systems in relevant domains. Experience in usability, human-computer interaction, or related interdisciplinary domains. Evidence of successful technology transfer or deployment of research prototypes into production or user-facing environments. Track record of leadership in cross-institutional research collaborations. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Associate Research Scientist is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. The Division of Molecular Genetics at Columbia University Irving Medical Center in New York City is seeking a highly motivated Associate Research Scientist to immediately participate in the conduct of studies on the molecular and cellular mechanisms of Prader-Willi syndrome, using stem cell models of human disease. The applicant will be using various techniques including the genetic modification of stem cells, directed differentiation, flow cytometry, immunocytochemistry, single molecule analysis of replicating DNA, and whole genome copy number analysis. KEY RESPONSIBILITIES The candidate will focus on genome stability and precise gene editing in early human embryos. The candidate will be working on: "Correcting Mutations in Blastocysts in the Mammalian Preimplantation Embryo". and: "checkpoint activity in mammalian preimplantation development". The responsibilities include embryology, embryo manipulation, whole genome amplification, production of mRNAs for DNA repair factors, transcriptional and proteomic analysis of mammalian embryos across species, laboratory maintenance (lab jobs), genetic analysis, manuscript writing, mentoring of junior students, postdocs and technicians. Techniques involve epigenetic reprogramming into iPSCs, somatic cell nuclear transfer, CRISPR-based gene editing approaches, chromosomal analysis through next generation sequencing, and immunostaining. This work may bring us closer to the possibility of improving the success rate of human fertility treatments and making them more accessible to patients coping with infertility. The candidate will present data in talks and seminars and through the preparation of manuscripts COMMITMENT OF DIVERSITY Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. PROFESSIONAL EXPERIENCE/QUALIFICATIONS • Must have a doctorate degree (M.D. or Ph.D.) in Physiology with animal and stem cell experience., • Excellent oral and written communication skills, advanced organizational skills, a strong work ethic, and the motivation to identify scientific problems and solve them. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Title: AI Analytics Engineer Department: Analytics and Data Governance (ADG) Reports To: Director of Data Analytic Position Type: Staff Position Summary: The AI Analytics Engineer is responsible for the full lifecycle of data delivery, ranging from rapid-response (Level 1) data requests to deep data cleansing. In this role, you will convert raw institutional data into high-value "AI-ready" assets by engineering the semantic layers required for conversational interfaces and autonomous agents, ensuring these systems-whether purchased or built in-house-are accurately powered and correctly deployed. This role serves as a key technical advisor, making recommendations on whether to buy third-party tools or build custom solutions based on the specific requirements of the data and the desired AI interaction. As a central technical resource within a tiered data team, you will operationalize the data requirements designed by the Senior Data Scientist/AI Engineer while ensuring strict adherence to the institutional security frameworks and governance standards established by the Data Governance Lead. Essential Functions: -Works as a central technical resource within the Analytics and Data Governance team to ensure data integrity and model readiness. This includes: -Primary technical partner for the Senior Data Scientist and AI Engineer: Build and automate the data features and training sets required for predictive models, analytical tools, and AI models. Manage the technical relationship with AI vendors under the direction of the Director, ensuring appropriate deployment and integration of purchased tools. Actively evaluate and recommend "buy vs. build" strategies to ADG, identifying where purchased tools meet institutional needs and where unique data complexities require supplemental in-house engineering. -Operationalize governance standards established by the Data Governance Lead by applying approved data definitions, classification rules, access controls, and security requirements within transformation logic, semantic layers, and downstream data products. Maintain technical lineage and metadata needed to support compliant, governed, and reusable institutional data assets. -Serve as the primary technical liaison between the Office of Institutional Effectiveness, Business Intelligence, Integrations, and Digital Learning teams to ensure official reporting data and AI model outputs are seamlessly integrated into dashboards and applications, while documenting the transformation logic and technical dependencies required to maintain data integrity across all internal analytics use cases. -Manage the standardized intake process for Level 1 data requests by extracting, assembling, and delivering datasets from the data warehouse (Snowflake) in requested formats. -Develop practical tools, examples, and "how-to" documentation that help campus users access and use governed data correctly, supporting the transition from basic data requests to responsible self-service analytics and AI-assisted workflows. -Design and maintain governed semantic layers that provide a consistent, well-documented source of business meaning for both human-led BI and autonomous AI agent consumption. -Build and configure data interfaces (e.g., API endpoints or Model Context Protocols) that allow AI systems to reliably query institutional data. Manage the technical deployment and configuration of AI interaction layers to ensure appropriate integration with these interfaces. -Support lightweight Machine Learning Operations (MLOps) tasks including routine deployments, versioning, and API integration into application pipelines, ensuring complex architecture or infrastructure issues are escalated to the Senior Data Scientist/AI Engineer. -Perform extraction, transformation, cleansing, and documentation of datasets to ensure usability and clear lineage for downstream teams and AI use cases, coordinating with domain stewards to ensure all governed data meets institutional requirements. -Maintain all transformation logic and modeling code using version control (e.g., Git, Snowflake), ensuring a clearly documented and reproducible technical data catalog. -Implement automated testing, validation, and data quality checks to verify that data is accurate, consistent, secure, and reproducible across reports, semantic layers, and AI/ML data assets. Additional Functions: -Support data and AI literacy efforts by creating role-appropriate guidance, examples, and usage guardrails that help campus users interpret, access, and use governed data responsibly. -Keeps abreast of emerging technology trends in the modern data stack and the AI vendor landscape and takes an active interest in professional development to ensure skills stay current. -Identify recurring data definition conflicts, usage inconsistencies, and business-process issues encountered in technical implementation, and escalate them to the Data Governance Lead and domain stewards for resolution. Prerequisite Qualifications: -A Master's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related field. -Advanced proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake). -Programming ability in Python or R for data manipulation and pipeline automation. -Experience with data manipulation libraries (e.g., NumPy, Pandas) and version control (e.g., Git, Snowflake). -Proficiency with data visualization tools (e.g., Strategy, Tableau). -Demonstrated ability to evaluate technical trade-offs and provide recommendations on software/tool selection. -Professional experience applying machine learning and statistical methods to real-world data, including the cleaning and preprocessing of large, complex datasets. -Demonstrated experience working with business domain stakeholders to interpret metrics and translate technical concepts into actionable business logic. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -At least three years of professional experience in data analytics, data engineering, or software engineering. -Working knowledge of data quality concepts, lineage, metadata management, and institutional governance processes. -Experience working with higher education ERP systems (e.g., Workday, Banner). -Experience in a higher education or research-intensive university setting. -Awareness of FERPA, GLBA, and responsible AI practices. -Familiarity with AI orchestration frameworks (e.g., LangChain). -Familiarity with project management frameworks in a technical environment. Bargaining Unit: PSA Range/Band: 26 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $73,502.29-$137,773.44 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

Kenvue is currently recruiting for a: Senior Scientist, Research & Development What we do At Kenvue , we realize the extraordinary power of everyday care. Collaborate with chemists, and other scientists to design experiments and integrate data into broader research and development efforts.

About Mercor’s talent network Join our Physical Scientist Expert Network to connect with leading AI labs and companies seeking your expertise. What we're looking for: - Professional experience in experimental research methods, quantitative data analysis, scientific reporting - Strong communica

Pay Rate: $74.00 - $78.00 Negotiable based upon years of experience Global Financial Firm located in RUTHERFORD, NJ has an immediate contract opportunity for an experienced Data Scientist Summary: Immediate contract opportunity for an experienced professional Location: Rutherford, NJ Role involves establishing and implementing new or revised applications and programs in the Technology team Focus on data extraction and analysis from structured and unstructured sources Develop systems to clean results and build predictive and prescriptive models Implement models in a production environment Address complex problems involving financial data with a focus on credit risk management Open to learning new and advanced models in LLM and GenAI Responsibilities: Architect, design, and implement robust Python-based solutions Lead global technology teams across different time zones, enabling a hybrid work model Drive Object-Oriented Programming (OOPS) principle-based development Mentor team members to leverage advanced Python coding techniques and features Partner with multiple management teams for integration of functions and system enhancements Resolve high impact problems/projects through in-depth evaluation of complex business processes Provide expertise in applications programming and ensure design adheres to architecture blueprint Develop standards for coding, testing, debugging, and implementation Provide in-depth analysis with interpretive thinking for defining issues and developing solutions Serve as advisor or coach to mid-level developers and analysts Implement Unit Testing and TDD to ensure software quality and maintainability Assess risk when making business decisions, demonstrating consideration for the company's reputation Requirements: PhD or master’s degree in computer science, data science, statistics, mathematics, engineering, or related field 5 years of industry experience specializing in ML modeling, ranking, recommendations, or personalization systems 5 years of experience designing and developing scalable and reliable machine learning systems Strong background in ML/DL/LLM algorithms, model architectures, and training techniques Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages Ability to work independently and collaboratively within a team Preferred Skills: Experience in GenAI/LLMs projects Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL) Background in financial business like banking, risk management Familiarity with capital markets and financial instruments and modeling

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/Dat

Check the links below: Please check the below links: SynergisticIT USA Today Article Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads i

Pos Position Summary The Division of Surgical Science at Columbia University Vagelos College of Physicians and Surgeons is accepting applications for an Associate Research Scientist. The individual will be responsible for performing basic and translational research in the area of gastroesophageal cancer research. The individual will work alongside the principal investigator in developing and performing scientific protocols, organizing and discussing results, as well as submitting scientific manuscripts and grants. The position involves conducting independent research, collaborating on multidisciplinary projects, and contributing to the development of innovative therapeutic strategies. Responsiblities • Design and execute experimental studies in gastroesophageal cancer focusing on the role of the tumor immune microenvironment, • Conduct in vivo experiments with genetically modified murine models and preclinical models of gastroesophageal cancer including mouse surgery and the generation of orthotopic models of gastroesophageal cancer, • Analyze and interpret data, ensuring the rigor and reproducibility of research findings., • Collaborate with interdisciplinary teams, including clinicians, translational scientists and basic scientists, • Contribute to the preparation of manuscripts, grant applications, and progress reports., • Supervise and mentor junior researchers, including postdoctoral fellows, graduate students, surgical residents, technicians and undergraduate studetns., • Present research findings at internal meetings, national and international conferences, and in peer-reviewed publications., • Maintain detailed and organized records of experimental procedures and data analysis in an Electronic Lab Notebook., • Stay current with advancements in gastroesophageal cancer translational research, incorporating new techniques and knowledge into ongoing projects., • Ensure compliance with all regulatory and safety protocols in the laboratory., • Assist in the development and optimization of in vivo and in vitro models of gastroesophageal cancer research MD o MD or PhD Preferred experience in: Experience in gastroesophageal cancer in vivo and in vitro models and assays Experience with mouse surgeries and generation of pre-clinical models of gastroesophageal cancer research Pre Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration. A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Anal

You have experience in delivering libraries, platforms, or solution level code to existing products. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics. A PhD in a quantitative field (Statistic

Argo Group and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly owned subsidiaries of Brookfield Wealth Solutions, a leading provider of wealth and insurance solutions.Argo and Farm Family partner with agents and brokers to help businesses stay