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Job Description If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions • Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build., • Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives., • Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement., • Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies., • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions., • Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field., • Ensuring compliance with regulatory requirements and data privacy standards., • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow)., • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks., • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation., • Demonstrated ability to build relationships with stakeholders and subject matter experts., • Familiarity with high computer cloud-based platforms and services, in particular AWS., • Familiarity with code version control and MLOps deployment approaches., • Ability to understand healthcare challenges and adapt accordingly to the AI solutions., • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field, • 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data., • Experience in healthcare/AI implementation in healthcare field is a plus., • Occasional mobility within office environment, • Routinely sitting for extended periods of time

Description Hourly Wage Estimate: $65.90 - $84.97 / hour Learn more about the ___ for this job. The estimate displayed represents the typical wage 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. The typical candidate is hired below midpoint of the range. Introduction Are you passionate about the patient experience? At HCA Healthcare, we are committed to caring for patients with purpose and integrity. We care like family! Jump-start your career as a Clinical Lab Scientist CLS II today with Good Samaritan Hospital. Benefits Good Samaritan Hospital offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include: • Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation., • Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more., • Free counseling services and resources for emotional, physical and financial wellbeing, • 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), • Employee Stock Purchase Plan with 10% off HCA Healthcare stock, • Family support through fertility and family building benefits with Progyny and adoption assistance., • Referral services for child, elder and pet care, home and auto repair, event planning and more, • Consumer discounts through Abenity and Consumer Discounts, • Retirement readiness, rollover assistance services and preferred banking partnerships, • Education assistance (tuition, student loan, certification support, dependent scholarships), • Colleague recognition program, • Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence), • Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income. Note: Eligibility for benefits may vary by location. Come join our team as a Clinical Lab Scientist CLS II. We care for our community! Just last year, HCA Healthcare and our colleagues donated $13.8 million dollars to charitable organizations. Apply Today! Job Summary and Qualifications Our Clinical Lab Scientists (level II) perform clinical testing in one or more of the following areas: blood bank, chemistry, serology, hematology, urinalysis, coagulation, special chemistry, microbiology and manual tests.Our team is amazing, we consider ourselves a family who work hard to support each other and we are looking for someone who feels patient care is as meaningful as we do. If that is you, come be a part of what makes us great and apply today! • You will perform automated, semi-automated and manual procedures in the fields of bacteriology, parasitology, hematology, coagulation, serology, chemistry, urinalysis, immunology, and immunohematology. According to established procedures and policies, • You will perform preventative maintenance on laboratory instrumentation, interpret results as to their accuracy, acceptability and critical limits and organizes work to meet established deadlines and record all data obtained, • You will work actively and be cooperative with nursing and other hospital staff to ensure timely patient care as well as assist with regulatory compliance, • You will be responsible for training lab personnel and are expected to perform in-charge assignment in the absence of a manager What qualifications you will need: • Current Clinical Laboratory Scientist license per CA State Board required, • Bachelor’s Degree in Medical Technology or equivalent from an accredited college or university required, • Minimum five years experience as a Clinical Laboratory Scientist required ___ has been serving Silicon Valley since 1965, giving patient's access to highly-trained physicians and advanced technology. Our 470+ bed facility is a recognized leader in advanced cardiology services and provides a full array of diagnostic and interventional coronary peripheral services. Other specialized programs include echocardiography, Vascular Sonograph and EKG services. Good Samaritan is a Joint Commission Accredited comprehensive stroke center. We are also one of 3 hospitals in the US to receive a 5th consecutive Outstanding Achievement Award from the American College of Surgeon’s Commission on Cancer. Among these accomplishments, our facility is a Bay Area Parent Magazine Hall of Fame recipient for “Best Place to Have a Baby”, complete with a CCS certified Level III neonatal ICU with pediatric surgery specialization. HCA Healthcare has been recognized as one of the World’s Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses. "The great hospitals will always put the patient and the patient's family first, and the really great institutions will provide care with warmth, compassion, and dignity for the individual."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Clinical Lab Scientist CLS II opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews. Unlock the possibilities and apply today! We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: * Career development with an international company where you can grow the career you dream of. * Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. * An excellent retirement savings plan with high employer contribution · Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. * A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. * A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. For years, Abbott’s medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether it’s glucose monitoring system, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks. The Opportunity The primary function of a SENIOR CLINICAL EVALUATION SCIENTIST/PROJECT MANAGER is to combine understanding of scientific and research methodology, medical device regulations and guidelines, and product and therapeutic area knowledge to support Regulatory Affairs medical device submissions in the EU for CE Marking of new devices and maintaining of CE Mark for existing devices in accordance with MEDDEV 2.7/1 Rev 4, MDD, AIMDD, MDCG Guidance documents, and EU MDR 2017/745. This role will support the Vascular product lines. WHAT YOU’LL DO * Manage, provide guidance, and oversight of CER Medical Writers’ development of Clinical Evaluation Reports and associated documents; set deliverables and project timelines and ensure timelines are met. * Facilitate communication and exchange of documents between stakeholders (e.g., internal personnel such as Regulatory Affairs, R&D Engineering, Clinical Engineering, A&P and Marketing, Library Services, Quality Engineering, Post-market Surveillance Group, Clinical Affairs, Risk Management, Program Management, as well as external vendors such as CROs, Medical Writers and Physician Reviewers). * Review, edit, and write portions, as needed, of Clinical Evaluation Reports and associated documents. * Draft and/or lead the development of regulatory responses for Notified Body and regulators’ questions upon review of submissions. * Provide strategic guidance on regulatory requirements, pertaining to clinical data and clinical evaluations, to new product development teams and sustaining teams. * Compliance with applicable corporate and divisional policies and procedures. * Participate in and support internal and external audits and responses to audit findings as appropriate, in root cause analysis, preventive or corrective actions, effectiveness monitoring, and other quality metrics. * Develop and update new policies, as appropriate, for processes and procedures relating to the clinical evaluation process, and train key personnel on them. * Function independently as a decision-maker on CER-related regulatory issues. Required Bachelors Degree (± 16 years) Minimum 5 years within healthcare-focused regulatory and/or compliance Preferred Qualifications * * Master’s Degree, RN, PharmD, PhD, or MD preferred. * 5-7+ years of experience in clinical research, clinical affairs, regulatory affairs, or quality systems, in the medical device or pharmaceuticals industry. * 3-5+ years of experience writing, reviewing or leading development of CERs and related documents in accordance with MEDDEV 2.7/1 Rev 3 and 4, the medical device directives (MDD 93/42/EEC; AIMDD 90/385/EEC) and the EU MDR 2017/745. * Scientific/research background; training and degree in science, engineering, or medical fields; understanding of research design, methodology, and statistics. * Thorough understanding of the EU MDR 2017/745, MDD 93/42/EEC; AIMDD 90/385/EEC; MEDDEV 2.7/1 Rev 4, MDCG Guidance on clinical evaluations, SSCP, PMCF plans and reports, and other international harmonized standards and guidelines related to medical devices, clinical studies, and quality systems. * Project management experience. * Excellent written, verbal and presentation skills in relevant areas of clinical/technical applications. * Strong command of medical and surgical terminology. * Knowledge of Cardiovascular devices and technologies. * Demonstrated ability to identify and adapt to shifting priorities and competing demands. * Proven ability to deliver high-quality work within tight timelines. * Highly-developed interpersonal skills, and strong attention to detail. * Able to travel as needed (<10%). The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.

Staff Data Scientist – Post Sales Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities • Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring., • Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion., • Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn., • Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals., • Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams., • Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You • Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment., • Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring., • Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy., • Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders., • Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Role: Senior or Lead Clinical AI Research Scientist Location: Hybrid in Palo Alto, CA. Company Stage: Seed ($50 Million) Compensation: 200k-225k salary range, bonus, equity About the Company Our client is an AI-first healthcare technology company transforming how hyper-personalized care is delivered. Their precision care platform empowers clinicians to provide whole-person care by combining generative AI with predictive analytics. Backed by extensive proprietary data assets covering hundreds of millions of patients and healthcare providers, the company is led by a team of experts spanning healthcare, technology, and clinical research. Their mission is to bridge cutting-edge AI innovation with practical, real-world healthcare applications that improve patient outcomes. About the Role We are seeking a Senior Data Scientist with deep expertise in Large Language Models (LLMs) and their application in healthcare. In this role, you will design, build, and deploy advanced AI solutions that seamlessly integrate into existing clinical and operational systems, driving measurable impact for providers and patients. Key Responsibilities • End-to-End Development: Lead the design and implementation of LLM-powered healthcare applications that are secure, scalable, and production-ready., • Model Specialization: Fine-tune and adapt LLMs such as LLaMA 2, Mistral, and other cutting-edge open-source models for healthcare-specific use cases., • Tool Application: Leverage frameworks like LangChain, LlamaIndex, and related tools to create innovative AI-driven healthcare workflows., • Problem-Solving: Address complex challenges in healthcare using creative, data-driven approaches that transform AI capabilities into real-world patient outcomes., • Cross-Functional Collaboration: Partner with clinicians, engineers, and business stakeholders, translating technical concepts into clear, actionable insights., • Continuous Innovation: Stay ahead of emerging trends in AI and healthcare technology, integrating new methodologies and tools where beneficial. Qualifications • Advanced degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline., • Proven experience developing and deploying LLM applications in a healthcare context., • Experience with SFT, RLHF, RAG, Agents, etc., • Proficiency with LLaMA 2, Mistral, LangChain, LlamaIndex, and comparable technologies., • Strong analytical, problem-solving, and critical-thinking skills., • Excellent written and verbal communication abilities, with a collaborative mindset.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Role: Staff Data Scientist Location: 555 Hamilton Ave. Palo Alto, California 94301 (Onsite - 5 days/week) About the Company Auxia is an AI-powered Growth and Personalization Platform that is reinventing how companies activate, engage, retain and monetize their customers. Auxia’s software delivers real-time personalization using ML that treats each customer as a unique individual, effectively creating a “cohort-of-one”. With Auxia, hundreds of personalized campaigns can be generated and deployed in minutes, doing away with static and tedious, rules-based segmentation and targeting. Auxia is easy to use, integrates with most major data and customer engagement tools, and frees up valuable internal resources. Our team started Auxia based on our collective expertise in advancing product growth at companies like Google, Meta, and Lyft. We saw a paradigm shift unfolding where the most successful teams drove significant revenue improvements and cost reductions by shifting from static, rules-based segmentation and targeting to real-time decision-making driven by machine learning. About the Role As the core member of the Auxia Data Science team, you will play a significant role in driving the data science vision/roadmap and also in building and improving our Machine Learning models and Agentic AI products. You will perform research at the intersection of recommender systems, causal inference, transformers, foundational models (LLMs), content understanding and reinforcement learning and develop production grade models serving decisions to 10s of millions of users per day. You will work at the intersection of artificial intelligence, process automation, and workflow optimization to create intelligent agents that can understand objectives, make decisions, and adapt to changing requirements in real-time. You will also be responsible for performing in-depth analysis of customer data and derive insights to better understand customer problems and collaborate cross functionally across engineering, product and business teams. Responsibilities • Design, implement, and research machine learning algorithms to solve growth and personalization problems and continuously fine-tune and improve them, • Design and develop AI-driven autonomous agents to execute complex workflows across various applications and objectives, • Implement and improve offline model evaluation methods, • Analyze large business datasets to extract knowledge and communicate insights to critical business questions by leveraging traditional statistical or machine learning methodologies, • Present and communicate data-based insights and recommendations to product, growth and data science teams at Auxia’s customers, • Stay updated on ML research through literature reviews, conferences, and networking Qualifications • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field., • 7+ years experience in training and improving and deploying ML models, developing production software systems such as data pipelines or dashboards preferably at fast-growing technology companies, • Proficiency in ML frameworks (TensorFlow/PyTorch/Jax) and the Python data science ecosystem (Numpy, SciPy, Pandas, etc.), • Experience with LLM, RAG, information retrieval etc in building production grade solutions, • Experience in recommender systems, feed ranking and optimization, • Experience in causal inference techniques and experimental design, • Experience working with Cloud services consuming and managing large scale data sets, • Thrives in ambiguity, ownership mindset, and willing to ‘get your hands dirty’ outside of the scope of your role (e.g. Product vision, strategic roadmap, engineering etc)

Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures) Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs Develop and maintain scalable data pipelines supporting trainin

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the role We're seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You'll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences. What You'll Do • Designing and architecting recommendation algorithms across various product surfaces, • Leverage all of xAI's infra and AI stacks to dramatically enhance the user experience, • Write data pipelines and training jobs that continuously learn from product data., • Iterate and improve the algorithm by gathering user feedback in real time through experimentation, • Knowledge of data infrastructure like Kafka, Clickhouse, and Spark, • Experienced in implementing recommender systems and/or deep learning applications at industrial scale, • Skilled in one or more DL software frameworks such as JAX or PyTorch After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-30 minutes phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps: • Deep dive coding challenge Location The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAbout Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California. Requirements In this role, you'll play a pivotal role in our customer journey, acting as a trusted advisor and technical expert. You'll partner with our sales team to support existing deals and empower customers to make informed decisions about our solutions. • Deep Dives with Customers: You'll collaborate with potential customers to understand their specific needs and challenges. Through technical discussions, you'll guide them through the decision-making process, explaining how Pathway addresses their unique requirements., • Installation Expertise: You'll be the go-to person for all things installation. Prepare customers for the implementation process by walking them through security considerations, pipeline setup, and any other technical aspects., • Building Trust and Relationships: Developing strong rapport with customers is key. You'll foster trust by being empathetic, likable, and demonstrating a genuine interest in their success., • Knowledge Powerhouse: You'll stay up-to-date on our solutions and industry trends, ensuring you can confidently answer technical questions customers might have. We're looking for someone who: • Possesses 5+ years of experience in a technical sales or application engineering role., • Has a strong understanding of technical concepts and the ability to translate them into easy-to-understand language for non-technical audiences., • Demonstrates excellent communication and presentation skills, effectively conveying complex information in an engaging manner., • Thrives in a collaborative environment and enjoys working as part of a team., • Is a natural problem solver, with a passion for helping others achieve their goals., • Can navigate different cultures easily. Why Should You Apply • Intellectually stimulating work environment. Be a pioneer: you get to drive adoption for leading frameworks with real-time data processing & generative AI., • Work in one of the hottest AI startups, with exciting career prospects. Team members are distributed across the world., • Responsibilities and ability to make significant contributions to the company's success., • Compensation:, • Inclusive workplace culture. The Interview Process: To assess your technical expertise and customer-centric approach, we'll conduct interviews where you'll take on the role of a customer. We'll present you with a technical scenario and ask you to walk us through the decision-making process for our solution.

Job DescriptionAbout Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California. Requirements You are: • Willing to learn and grow in the job, • Respectful of others, • Fluent in English Why You Should Apply • Opportunity to work on the ground floor of the ever-expanding AI industry close to some of the most groundbreaking innovations., • Work closely with the Team and gain hands-on experience scaling a disruptive AI company., • High visibility and impact roles., • Type of contract: permanent employment contract, • Benefits: Employee Stock Option Plan, • Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland.

Job function: Engineering and Information Technology.

Credit Strategy Data Scientist.

Experience mentoring junior team members and contributing to the data science community. Machine Learning Scientist II - CRM Machine Learning Science. Join Expedia Groups newly formed Customer Relationship Management (CRM) Machine Learning Science team in San Jose, where your work will directly infl

About Us: Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years.We are dedicated towards fulfilling the IT needs of our clients.From staffing to full implementation of projects we provide the highest quality IT services.We intend to deliver

Job Description About Evolutia Bio: Evolutia Bio is a leading biotechnology company focused on revolutionizing industrial manufacturing of pure, consistent, and sustainable ingredients. Evolutia Bio’s team has a proven track record of devolving and commercializing bio-based manufacturing processes and products to benefit our partnerships and their customers. Position Title: Scientist, Genetic Engineering Position Summary: In this role, you will specialize in applying multiplexed HTP approaches for enzyme and pathway host engineering in microorganisms (Yeast and E.coli). You will be responsible for identifying improved strains based on performance and yield of target compounds as well as transferring technologies between company and manufacturing partners. Experience using synthetic DNA and gene-editing tools to create and integrate large, diverse DNA libraries for HTP screening, as well as constructing large-genome wide knockouts and over-expression libraries will prove pivotal. Education: MS or Ph.D. in genetics, molecular biology, microbiology, biochemistry, chemical engineering, enzyme engineering, or related fields. Minimal Qualifications: • Hands on experience working with lab automation equipment such as robotic liquid handlers (e.g., TECAN Fluent, Opentrons), • Maintain timely documentation of laboratory work using Benchling and supporting software, • Practice excellent housekeeping and safety, • Excellent communication, documentation, organization and presentation skills, • Ability to take ownership, prioritize responsibilities, multi-task and remain flexible with changing needs, • Have good record keeping, ability to write SOPs, • A strong desire to grow as a scientific researcher, learn new techniques and adopt new technologies for process improvement Essential Duties & Responsibilities • Build site saturation mutagenesis and combinatorial libraries for enzyme evolution campaigns, • Build Yeast/Bacterial strains for HTPS and for Production scale settings, • Apply a broad range of analytical methods including PCR, DNA electrophoresis, spectrophotometry, DNA extraction, DNA sequencing, molecular cloning, gene editing (CRISPR, HR), protein extraction, and other plate-based assays to QC and validate strains, • Utilize yeast physiology knowledge to identify, engineer and resolve biosynthetic pathway bottlenecks Follow protocols for building/cloning multi-gene DNA assemblies/libraries in yeast, • Take an active role in sequence/activity data analysis and offer strategic recommendations based on interpretation of data for subsequent strain/enzyme engineering decisions., • Improve protocols for high efficiency transformation of libraries into expression host microbes such as yeast and in-house automation platforms and high throughput workflows to increase experimental throughput, • Provide written documentation and specifications of genetic engineering workflows (SOP’s), • Work in partnership and collaboration with molecular, computational, fermentation and analytical scientists to meet company goals/milestones, • Participate in a rapid “Design/Build/Test/Learn” cycle with other lab scientists to meet company goals/milestones, • Collaborate closely with upstream process team to develop strains/enzymes toward commercial targets, report writing and tech transfers, • Coordinate with assay team to perform hypothesis-driven wet-lab experiments in microtiter plates and shake flasks to improve strain/enzyme metric, • Communicate and present experimental set up and results to various stakeholders across functional teams and partners Preferred Experience: • 2+ years’ experience in enzyme/strain engineering of eukaryotic microorganisms e.g., S. cerevisiae and P. pastoris using high throughput DNA library construction techniques in an industrial research setting (Biotechnology, Pharmaceutical, or Life Sciences Industries)., • Background in ELN and LIMS for data capture and tracking, gene editing technologies and working in a high-throughput environment strongly preferred for production of natural products and/or small molecules., • Ability to perform repetitive tasks using hands and wrists., • Subject to extended periods of sitting and/or standing., • Onsite in Sunnyvale, CA, • Must be authorized to work in the U.S., • No Visa sponsorship, • No Travel Required Compensation & Benefits: • Competitive salary package, • Generous PTO and company holidays, • Comprehensive medical, dental, and vision insurance, • Life, AD&D, short- and long-term disability insurance

Job DescriptionClinical Lab Scientist (Hematology)Location: Sunnyvale, CAWhy Ascend?Come work for a company that is transforming the industry! We are Eurofins Ascend Clinical, LLC., one of the highest volume clinical laboratories in the United States. With the use of the most advanced tools and technology, we process millions of tests each month. For over 30 years, we have been delivering industry-leading service and excellence in testing. At Ascend, we are relentless about innovation and growing to pioneer the future of clinical and environmental laboratory testing. Ascend is unlike most companies, offering the discipline of a healthcare leader and the mentality of a tech startup. As a company that is on the leading edge, we are seeking individuals with a similar mindset who enjoy a dynamic, fast-paced environment. Job Summary: As a Clinical Laboratory Scientist (Hematology) you will perform routine laboratory testing as well as basic instrumentation maintenance and troubleshooting and accurately perform routine laboratory testing in accordance with protocols established. The CLS will correlate and integrate other patient data when interpreting test results and report results, which are substantiated by the proper use of appropriate quality control systems. The CLS will also use professional judgment and have an in-depth knowledge of laboratory techniques, scientific principles, quality control and instrument maintenance. This is a per diem role. Essential Functions: • Follow all company policies and procedures: general policies, Exposure Control, Chemical Hazard, Illness and Injury Prevention Program and Quality Assurance Program. Understands the hazards associated with failing to follow those procedures, • Perform Quality Control (QC) procedures and interpretation of clinical values, including critical values and delta checks. Knows when test results are reportable and what to do in case of Quality Control failure., • Perform and log routine daily, weekly and monthly maintenance and calibration of laboratory instrumentation according to protocols, • Perform, evaluate and report all routine laboratory tests in chemistry and/or immunology under the supervision of a licensed Clinical Laboratory Scientist and according to established AC protocols. Strictly adheres to written procedures, • Know protocol for handling critical values including rerunning tests, review of past results and phoning unit with results. Interact with Client Services, when necessary and appropriate, when results need to be phoned. Handle and investigate complaints, problems and discrepancies, as needed, • Apply current scientific principles to clinical situations and demonstrate thorough knowledge of instrument operation., • Participate in the Quality Assurance program and in in-service education programs, • Strong Knowledge of accepted clinical laboratory practice and procedures including handling of potentially infectious material and familiarity with California law relating to the practice of medical technology., • Moderate computer skills, good quality control and instrument maintenance knowledge., • Strong communication skills, both written and verbal., • Analytical problem-solving skills, proficiency in performing detailed tasks thoroughly and completely, and the ability to follow complicated instructions with accuracy., • Good organizational skills., • Strong knowledge of multiple specialties and of quality control and calibration., • Strong knowledge of lab equipment and procedures., • Clinical Laboratory Scientist license from the State of CaliforniaCompensation:, • $55-65/hr, • Compensation may vary for different individuals in the same role based on several factors, including but not limited to individual competencies, education/professional certifications, experience and performance in the role.Benefits: As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options. Ascend is an Equal Opportunity Employer - M/F/Disabled/Veteran Eurofins Ascend Clinical, LLC is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law. The company’s policy is to recruit, hire, train, promote and administer all employment-related matters on the basis of an individual's qualifications, abilities and efforts without regard to protected status. Powered by JazzHR qPON1g2Cce

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff AI Scientist for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact Your Impact • AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications., • Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems., • System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications., • Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations., • Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers., • Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence., • Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions., • Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring., • Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs.Qualifications Your Experience * 8+ years in software engineering, with 5+ years in Data science/AI/ML experience. * Experience deploying enterprise AI/ML systems. * Understanding of the AI lifecycle. * Experience with distributed systems and streaming data. * Hands-on experience with Generative AI and LLMs. * Proficiency in AI/ML frameworks and cloud platforms. * Strong programming skills (Python and C++). * Excellent communication skills. * Masters/Bachelors degree in Computer Science or related field. Preferred Qualifications: * PhD degree in Computer Science , Applied Mathematics , Machine Learning or related computation field. * Experience with open-source AI projects. * Prior technical lead role for AI/ML projects. * Familiarity with cybersecurity principles for AI. What we are looking for? * Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn). * Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact. * System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles. * Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts. * Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction. * Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams. * Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes. * Continuous Learning: Passion for staying up-to-date with the latest advancements in AI. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Job Description Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Our team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud. Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%. Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend. We have made significant progress already, with models that significantly outperform even selection by human experts but there are still many improvements to be made. We are looking for a Staff Data Scientist to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes. What You’ll Do: * Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes. * Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision. * Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients. * Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling. * Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency. * Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs. What You Bring: * You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while. * You are comfortable measuring and optimizing the direct business impact of work. * You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.). * You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at:

Job DescriptionCompany Description International SOS Government Medical Services, Inc. delivers customized medical and security risk management and wellbeing solutions to enable our clients to operate safely and effectively in environments far from home. Founded in 1984, we operate in 92 countries providing integrated medical solutions to organizations with international operations. Our innovative technology and medical and security expertise focus on prevention, offering real-time, actionable insights and on-the-ground quality delivery. We provide clinical services to include “hands on” direct care at over 800 sites around the world, many of which include inpatient clinical care capabilities. With 12,000 staff (including 5,200 medical and behavioral health providers) our services include the design, deployment, and operation of healthcare solutions including freestanding surgical facilities in remote and austere environments, telemedicine consultation through a wide range of virtual modalities, referrals to a global network of more than 100,000 vetted providers, and global aeromedical evacuation. Within our portfolio of companies, International SOS Government Medical Services, Inc., headquartered in Houston, Texas provides contracted healthcare support to Government defense and civil agencies and government contractors, including support to military exercises and operations, diplomatic missions, natural disasters, and refugee care. To protect your workforce, we are at your fingertips: internationalsos.com Job Description This position is contingent on contract award. This position will support the US Department of Veterans Affairs Critical Staffing Program. The person in this position will represent International SOS Government Medical Services, Inc. and provide services outlined below: International SOS Government Medical Services, Inc. is looking for an individual who is an experienced Medical Technologist to perform complex laboratory tests and analysis to assist in the diagnosis, treatment, and prevention of diseases, ensuring the accuracy and reliability of test results. They utilize advanced laboratory techniques and equipment to provide critical data for patient care and medical decision-making. Key Responsibilities: • Perform high complex molecular laboratory testing such as:, • Pathogen agnostic whole genome sequencing or pathogen specific testing such as antibody or antigen., • RT-PCR, Multilocus sequence typing (MLST); or whole genome sequencing for diagnosis and treatment decision-making in support of the Whole-of-government USG National Biodefense Strategy Diagnostics Joint Capabilities Plan., • CDC Laboratory Response Network (LRN); and VA Public Health preparedness and response requirements (including laboratory surveillance, lookback and outbreak investigations and VA response to high consequence infections such as Ebola, mpox or H5N1 avian influenza). These complex laboratory tests are not available in VHA clinical laboratories., • Perform laboratory information management (LIM) services that connects all VA medical center laboratories with PHRL, given PHRL supports all 150 VA medical centers (VAMC) to provide these services., • Evaluate the suitability of the specimen for analysis, requesting new specimen if determined to be unusable., • Prepare specimens for analysis, ensuring that the physiologic state of the specimen properties is maintained., • Select, perform, evaluate and monitor the performance of test procedures using manual and instrumental techniques in accordance with established protocols., • Recognize and react to indicators of malfunction; locates and implements corrections., • Conduct quality control procedures on equipment, reagents, and products and maintains proper records for quality control reports., • Calibrate, standardize, adjust and maintain instruments on which trained. Verifies correct instrument operation using established procedures and quality control checks and monitoring. Identifies the cause of common problems and makes simple repairs., • Evaluate the validity of data in relation to the test system and accepted assay procedures. Correlate quantitative data with patient data (i.e., history, medications) to verify results., • Perform additional tests to clarify or confirm abnormal patient results. Recognizes abnormal results that require immediate attention by the physician and reports them directly., • Responsible for the generation of laboratory results from the work area into the laboratory computer system and for the editing and verification of the results recorded into the computer system., • Responsible for LIM services to build or maintain connectivity between PHRL and all VAMC clinical laboratories., • Serve as an expert to perform and provide authoritative advice to staff and troubleshooting ability for more difficult or unique molecular assays; and provide information, guidance, or test results regarding complex molecular laboratory testing to VHA clinical laboratory personnel; county, state and CDC public health officials; and other VA or USG stakeholders., • Perform validations of new methods to determine accuracy, precision, sensitivity, specificity, normal ranges and interfering substances. This includes experience with vendor supplied reagents and testing platforms approved by US FDA or PHRL laboratory developed tests (LDT) that must undergo the same rigorous evaluation prior to performing clinical testing., • Conduct evaluations and analyses and recommend changes to correct deficiencies that improves laboratory test performance. In addition, must be able to troubleshoot complex laboratory test platform malfunctions, including mechanical or software issues, and if required, work with vendor technical personnel to resolve problems., • Design workflows for laboratory testing that incorporates considerations for laboratory space, personnel protective equipment and proper containment if required; appropriate test methodology, testing equipment platform, reagents and consumables; test result structure for electronic reporting; and proficiency testing., • Advise supervisor and clinical providers on aspects of the requested testing, including the appropriateness of specific tests. Advise on alternate laboratory testing to overcome ambiguities in clinical diagnoses. This requires a higher level of knowledge and understanding of infectious disease pathogenesis, natural history, and temporality for when certain tests should be used., • Identify training needs for the laboratory services provided, which include but are not limited to vendor-associated in-service or hands on training for laboratory platforms; all required VA training; The Joint Commission laboratory criteria; continuing education requirements to maintain Clinical Laboratory Scientist (CLS) certification., • Identify, define, and resolve issues with complex data or unique or controversial aspects of the testing where no direct precedent exists. For example, use of unique bioanalytic electronic pipelines for analysis of pathogen nucleotide sequences for pathogen species identification or detection of antimicrobial drug resistance where conventional analysis tools do not exist., • Possess familiarity and experience with clinical laboratory accreditation, inspection policies and procedures and laboratory result reporting requirements including but not limited to Clinical Laboratory Improvement Amendments (CLIA); CDC Laboratory Response Network (LRN); College of American Pathologists (CAP); The Joint Commission (TJC); VA National Enforcement Office (NEO); and state and federal regulations, requirements and policies for reporting communicable diseases to public health entities., • Have experience in handling and testing clinical or environmental samples and pathogen isolates that result from high consequence infections or are defined as category A biological agents (i.e., Ebola virus, anthrax, smallpox, etc.) which require handling in a high containment laboratory (biosafety level, BSL 3)., • Have experience in VA Laboratory Information Management (LIM) systems, in particular VistA/CPRS laboratory module in order to troubleshoot and build and maintain new laboratory test orders, result reporting and transmission capabilities via the Laboratory Electronic Data Interchange (LEDI); and similar connectivity with VAMCs that have the Oracle-Cerner electronic health record. Basic Requirements/Certifications: • Certification as a Medical Technologist (MT) or Clinical Laboratory Scientist (CLS) given by the American Society of Clinical Pathology Board of Registry (ASCP-BOR)., • Basic Life Support (BLS) certification., • Knowledge of laboratory equipment and ability to maintain, troubleshoot, and repair instrumentation., • Ability to use independent technical judgment to analyze and interpret laboratory results., • Ability to interpret and apply complex written instructions., • Ability to communicate, consult, and interact with Laboratory Director, Laboratory Supervisor, and other members of the healthcare team. B.S. degree in a Biological Sciences-related field and 2-5 years of laboratory experience (especially molecular assays). Physical Requirements: • Work is normally performed in a typical interior/office work environment., • Work involves sitting and standing for prolonged periods of time., • Must be able to read, write, and speak English to effectively communicate., • US Citizen or Permanent Resident Card is required., • Resume, • Letter of Commitment Additional Information Pay range is based on several factors and may vary in addition to a full range of medical, financial, and/or other benefits. Final salary and offer will be determined by the applicant’s background, experience, skills, internal equity, and alignment with geographical market data. Benefits – Full-time positions are eligible for our comprehensive and competitive benefits package including medical, dental, vision, and basic life insurance. Additional benefits include a 401k plan paid time off and an annual bonus. International SOS Government Medical Services, Inc. complies with all federal, state, and local minimum wage laws. International SOS Government Medical Services, Inc. is an equal opportunity employer and does not discriminate against employees or job applicants on the basis of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with the applicable federal, state and local laws.

Job DescriptionSalary: $125k - $145k About Oxford Biotherapeutics: Oxford BioTherapeutics (OBT) is a dynamic, growing, international biotechnology company based in Oxford, UK, and San Jose, CA. We are a clinical stage oncology company with a pipeline of immunooncology and antibody-drug conjugate-based therapies. OBT's IO discovery process provides unique insight into the cancer-immune cell synapse and has identified several novel IO candidates for cancer therapy. Discovery of novel tumor antigens and immune cell surface proteins at OBT is performed using the proprietary Oxford Genome Anatomy Project (OGAP) database. OBT currently has one ADC in phase 1b clinical trials in collaboration with Menarini. Job Description We are seeking a motivated and detail-oriented Scientist to join our histopathology lab within the Target Validation Team at our San Jose, CA site. The appropriate candidate will be expected to independently execute the necessary histopathology techniques for evaluating oncology therapeutic targets. This role will support our target validation efforts by using immunohistochemistry (IHC), immunofluorescence (IF), in situ hybridization (ISH), microscope slide scanning, whole-slide image analysis and troubleshooting experience to aid in the development of new assays and informative assay data. The majority of responsibilities will be focused on IHC, including the screening, assay development, and validation of IHC antibody clones, oncology indication-focused tissue procurement, sample processing and embedding (FFPE and FF), sectioning (FFPE and FF), and tissue-based assay development (both manual and automated). Hands-on knowledge of histology and oncology fundamentals is required. Responsibilities will include, but are not limited to, the following: • Independently design and execute the selection of in-house antibody clones to develop, validate and utilize chromogenic IHC assays against novel cancer drug targets., • Design and perform single and multiplexed IHC, ISH, IF and similar assay experiments to support therapeutic drug development decision making., • Process tissues and cell pellets into FFPE and frozen sample blocks; section FFPE and frozen samples, and perform staining primarily using Leica Bond autostainers., • Digitize microscope slides using slide scanners and independently summarize results of lab experiments in ELN and PowerPoint presentation formats in a timely manner., • Collaborate effectively in a matrix-managed organization to drive advancement of early-stage projects into translational and clinical development., • Be relied upon as a technical expert in the IHC field; provide guidance to colleagues and collaborators, and mentorship to more junior lab colleagues., • Perform general day-to-day lab tasks including timely archiving of new slides and samples, equipment maintenance, consumables ordering, shipping/receiving, etc.. Required Qualifications and Skills: • PhD +4 years, or Masters +6 years, or Bachelors +8 years or more of hands-on experience working in histology and IHC related labs, preferably supporting cancer research in an industry setting., • Extensive hands-on experience developing, utilizing, and interpreting immunohistochemistry (IHC) assays against novel protein targets, using both single and multiplex IHC techniques primarily on FFPE sample slides., • Extensive hands-on experience in laboratory histology, including preparation of tissue samples into FFPE and FF blocks, preparation of cell pellet control blocks, cryostat and microtome sectioning, troubleshooting chromogenic IHC andISH experiments, and independently identifying appropriate next steps in the development of robust, sensitive and specific tissue biomarker assays., • Experience with Leica Bond autostainers and reagents relevant to optimizing new IHC assays, typically chromogenic assays., • Experience with microscope slide scanners for brightfield and fluorescent imaging, and general experience utilizing whole-slide image analysis software such as HALO. Preferred Qualifications and Skills: • Knowledge in cancer biology, immuno-oncology, and tumor histopathology are each a plus., • Strong track record of developing and implementing strategic initiatives to improve scientific and/or operational activities., • Relevant experience working with service providers and CROs in the histology space., • Excellent organization skills, and previous successes working a growing and fast-paced work environment., • Experience regularly presenting IHC assay results in group settings., • Top candidates will be collaborative and team oriented, creative problem solvers, resilient to change, and interested in learning opportunities., • Experience with cell culture and related molecular biology assays (WB/ELISA/etc.) are additionally a plus. One of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer comprehensive benefits. Benefits Offered: Medical, dental and vision insurance FSA (Flexible Spending Account) STD, LTD, Basic Life, Supplemental Life and AD&D Insurance 401(k) Plan Up to 120 hours of Paid Time Off in your first year (increasing with tenure) 5 sick days per year 11 paid holidays Employee Referral Bonus Program Annual training budget for professional development Annual bonus program New hire stock options Team building events and activities Equal Opportunities Statement OBT is an equal opportunity employer and prohibits unlawful discrimination based on race, color,religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age,disability, marital status, and veteran status. All qualified applicants will receive consideration foremployment. Why Join Us We promote a culture of innovation, responsibility, and commitment to our goals and objectives.Together, we believe, we can pool our resources and our uniqueness to develop novel, robust curesfor one of the most challenging health conditions today. We recognize that our team is only as goodas the people in it. Our people have used the words friendly, collaborative, and hard working todescribe the culture here at OBT. This is why, while we strive to ensure that we hire only the bestpeople. We also strive to provide a working environment that is based on cooperation, innovation,and mutual respect.

Job Description You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $100K - $130K

Job Description Data Scientist Fraud Analytics & Strategy (Hybrid | San Jose, California) Overview: We are seeking a Data Scientist, Fraud Analytics & Strategy to join a dynamic fraud risk and data science team. The ideal candidate has hands-on experience using data to detect fraud, design effective strategies, and build predictive models that enhance customer trust and minimize losses. Responsibilities: * Analyze large-scale data to identify and mitigate fraud trends * Build, test, and refine data models and fraud detection rules * Design and maintain dashboards and KPI reports (Tableau or AWS Quicksight) * Collaborate with product and engineering to deploy fraud prevention strategies * Present findings and business recommendations to leadership and stakeholders Qualifications: * Bachelor's degree in Data Analytics, Statistics, Mathematics, or a related field * No more than 2 years of experience in data analytics, fraud risk, or data science * Proficiency in SQL, Python, and Tableau (required) * Strong analytical and problem-solving skills * Excellent communication and storytelling abilities with data * Based in or near San Jose, CA (remote considered for highly qualified candidates) * U.S. citizen or authorized to work in the U.S. (no visa sponsorship) Bonus Skills: * AWS or cloud data tools (e.g., AWS Quicksight) * Experience in the e-commerce, fintech, or payments industries * Knowledge of fraud typologies and machine learning applications Type: 12-Month Contract | Day Shift (M-F, PST) | Hybrid (San Jose, CA)

Job Description Note: This is a hybrid position, so candidates must be in San Jose. JOB DESCRIPTION: We are looking for a talented, enthusiastic, and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis, and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain. We’d love to chat if you have: • Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or related field, or equivalent practical experience, • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, and Excel, including key data science libraries, • Proficiency in data visualization, including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives, including development of dashboards and visualizations, ie, Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how and ability to work with your team to make a big impact., • Desirable to have experience or aptitude in solving problems related to risk using data science and analytics, • Design rules to detect/mitigate fraud, • Develop Python scripts and models that support strategies, • Investigate novel/large cases, • Identify root cause, • Set a strategy for different risk types, • Work with product/engineering to improve control capabilities, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Utilize data analysis to design and implement fraud strategies, • Collaborate with cross-functional stakeholders, including product managers and engineering team,s to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Data analytics and models, • Rule development, • Dashboard Creation, • Project Management, • Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or related field, or equivalent practical experience., • Experience using statistics and data science to solve complex business problems., • Experience in SQL, Python, and Excel, including key data science libraries., • Experience applying statistics and data science to tackle intricate business challenges, especially in Fraud mitigation., • Experience in data visualization, including Tableau., • Experience working with large datasets.Company DescriptionDiverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow. Specialties / DSG Core Competencies: • Healthcare Information Management, • Healthcare Information Technology Discovery(HID), • Project/Program Managers, • Change and Configuration Managers, • Quality Assurance/Testers, • Network Security, • Database Developers and Administrators, • Information Assurance, • Web Development, • HelpdeskDiverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow.\r\n\r\nSpecialties / DSG Core Competencies:\r\n* Healthcare Information Management\r\n* Healthcare Information Technology Discovery(HID)\r\n* Project/Program Managers\r\n* Change and Configuration Managers\r\n* Quality Assurance/Testers\r\n* Network Security\r\n* Database Developers and Administrators \r\n* Information Assurance\r\n* Web Development\r\n* Helpdesk

Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar.

The Target Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target's digital experience. The Target Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target's digital experience. Every Da

Overview: We are seeking a highly analytical and business-savvy Marketing Data Scientist to join our team. In this role, you will leverage advanced analytics, statistical modeling, and machine learning to uncover insights, optimize marketing campaigns, and drive data-informed decision-making. You wi

Job DescriptionArray Labs is building a distributed radar imaging constellation to power the first accurate, real-time 3D model of the world. As a 3D Reconstruction Scientist in the Image Formation team at Array Labs, you will play a crucial role in designing and implementing state-of-the-art algorithms and techniques for reconstructing 3D images from distributed sensors. Your work will have a significant impact on the industries we serve by enabling our products to deliver highly accurate and detailed 3D models and visualizations. Responsibilities: • Research, design, and implement tomographic algorithms for 3D image reconstruction utilizing complex phase-history data from radar sensors, • Develop autofocus techniques to sharpen images affected by inaccurate position knowledge of the sensor platform, and/or phase inaccuracies caused by various hardware imperfections in our distributed sensor system, • Develop efficient data preprocessing and calibration techniques to enhance the quality and accuracy of 3D reconstructions, • Optimize algorithms for near real-time production of 3D imagery in our cloud-based production pipeline, • Collaborate with cross-functional teams to integrate 3D image reconstruction solutions into our products and services, • Conduct thorough testing, validation, and performance evaluation of 3D image reconstruction algorithms to ensure they meet end-user expectations Basic Qualifications: • Bachelor's in Computer Science, Electrical Engineering, or a related field., • 4+ years of experience in 3D image reconstruction, 3D computer vision, multi-view geometry or a related field., • Excellent teamwork and communication skills, • Learns new concepts rapidly, completely, and in a self-directed manner, • High levels of self-motivation and personal accountability, • Ability to work in a fast-paced environment under significant time constraints, • Proficient in Python, MATLAB, or C/C++ Preferred Skills and Experience: • Master’s degree in Computer Science, Electrical Engineering, or a related field., • 2+ years of experience deploying 3D image processing/generation algorithms into production pipelines, • 2+ years of experience in one or more of the following areas:- signal processing for tomographic SAR and/or interferometric SAR- Depth estimation using stereo images, multi-view geometry, or optical flow- Generating 3D images from 2D sensors.- Estimation theoretic approaches to 3D localization- Ambiguity resolution for 3D localization, • Experience adapting image processing algorithms for GPU clusters, • Experience with stochastic and adaptive signal processing techniques, • Experience extracting insights from 3D data products via AI/ML techniques, • Experience creating 3D data products from geospatial data sets is a plus ITAR Requirements: • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Employer • Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status. Interview ProcessWe will conduct three interviews via Zoom; the typical process takes around 2-4 weeks to complete from start to finish. Hiring and Compensation StrategyOur hiring and compensation strategy is simple:

Job DescriptionGator Bio, the leading developer and manufacturer of Bio-Layer Interferometry (BLI) instrumentation and consumable products utilized by life science researchers within the biopharma, drug discovery, pharmaceuticals, biotech and academia markets. Headquartered in Palo Alto, CA, we provide BLI label-free solutions involving instrumentation, software, and consumables utilized for measuring real-time label-free biomolecular interaction. General applications include quantitation, kinetic analysis, and epitope binning. This is an excellent opportunity to join a young, exciting forward-thinking company that is rapidly expanding globally, with limitless possibilities for future growth and career advancement. ESSENTIAL DUTIES AND RESPONSIBILITIES • Achieving and exceeding monthly and yearly sales goals within the assigned territory., • Identifying, developing, and closing key opportunities within the Pharmaceutical, Biotech, Biopharma, CRO’s, Environmental Science and Academic life science research areas., • Developing, implementing, and maintaining account strategies/proposals to drive incremental growth., • Networking with key decision makers to strengthen relationships and uncover new opportunities., • Submitting accurate sales forecast, weekly reports, and maintaining up-to-date detailed account information including product, market, application, and sales cycle through CRM system., • Monitoring competitive activity, industry trends, creating competitive solutions., • Ability to present and discuss technology, applications, benefits, and value proposition statements., • Identifying & implementing strategies to strengthen customer relationships utilizing internal resources., • Coordinating sales efforts with Field Application Scientist (FAS) and Service team for product demonstrations, sample workup and post-sales support., • Ensuring success for all customer accounts., • Attending trade shows, lunch & learns, user group meetings, and virtual events.QUALIFICATIONS, • B.S., M.S., or PhD degree in Biology, Biochemistry, Chemistry, Chemical Engineering, or equivalent work experience required., • Minimum of 3+ years successful capital equipment scientific sales experience., • Expertise in Bio-Layer Interferometry or Surface Plasmon Resonance products preferred., • Sales-driven individual., • Excellent interpersonal and communication skills., • Self-motivated, well-organized, ability to develop contacts and build rapport at all levels., • Experience successfully meeting/exceeding sales goals., • Experience creating and executing sales territory plan with focus on long-term relationships., • Must reside within the territory and be able to travel 40%, including overnight travel., • Proficient in Microsoft Office Suite, SFDC or other related CRM sales funnel tools.POSITION REQUIREMENTS, • To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • License: Possession of clean driver's license., • Physical Demands: While performing the duties of this Job, the employee is regularly required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and/or move up to 45 pounds.

Job Description Overview Ansible Government Solutions, LLC (Ansible) is currently recruiting multiple Clinical Laboratory Scientists (CLS) to support the VA Palo Alto Health Care System (VAPAHCS) located at 3801 Miranda Ave, Palo Alto, CA 94304. This facility provides some of the world's finest medical care and cutting-edge technology. CLS' must perform clinical laboratory testing, to include COVID-19 related tests. Available full-time schedules are primarily day shifts. If you accept employment with Ansible, you must also acknowledge that any assigned schedule is subject to change at the direction of either Ansible or its customers. Exceptional compensation and benefits packages are available to qualified candidates. Ansible is a Service-Disabled Veteran-Owned Small Business (SDVOSB) providing Federal customers with solutions in many arenas. Our customers face wide-ranging challenges in the fields of national security, health care, and information technology. To address these challenges, we employ intelligent and committed staff who take care of our customers’ success as if it is their own. Responsibilities • Evaluates the suitability of the specimen for analysis, requesting new specimen if determined to be unusable., • Prepares specimens for analysis, ensuring that the physiologic state of the specimen properties is maintained., • Selects, performs, evaluates and monitors the performance of test procedures using manual and/or instrumental techniques in accordance with established protocols. Recognizes and reacts to indicators of malfunction; locates and implements corrections., • Conducts quality control procedures on equipment, reagents, and products and maintains proper records for quality control reports., • Calibrate, standardizes, adjusts and maintains instruments on which trained. Verifies correct instrument operation using established procedures and quality control checks and monitoring. Identifies the cause of common problems and makes simple repairs., • Evaluates the validity of data in relation to the test system and accepted assay procedures. Correlates quantitative data with patient data (i.e., history, medications) to verify results., • Performs additional tests to clarify or confirm abnormal patient results. Recognizes abnormal results that require immediate attention by the physician and reports them directly., • Must currently possess the appropriate certification as a Medical Technologist (MT), Clinical Laboratory Scientist (CLS), or Medical Laboratory Scientist (MLS) given by the American Society of Clinical Pathology Board of Registry (ASCP-BOR), or American Medical Technologists (AMT), • Bachelors in Science degree in a Biological Sciences-related field and 2-5 years of laboratory experience., • Knowledge of laboratory equipment and ability to maintain, troubleshoot, and repair instrumentation., • Ability to use independent technical judgment to analyze and interpret laboratory results. Ability to interpret and apply complex written instructions., • Ability to communicate, consult, and interact with Laboratory Director, Laboratory Supervisor, and other members of the healthcare team., • Knowledge and understanding of laboratory operations and their relationship to the organization enough to solve testing, quality or customer service problems., • English language proficiency. All candidates must be able to: • Sit, stand, walk, lift, squat, bend, twist, and reach above shoulders during the work shift, • Lift up to 50 lbs from floor to waist, • Lift up to 20 lbs, • Carry up to 40 lbs a reasonable distance Powered by JazzHR tIZpbnCKxy

Job Description Role: Data Scientist - 2 Work location: San Jose, CA – Onsite Job Type: Contract Job Description: Item embedding/recommendation engine Deep learning and recommendation engine @ scale for item and product embeddings Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP Requirements Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP

Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.

The Target Data Sciences - Supply Chain Optimization team leverages operations research, simulation, and machine learning to help Target makes intelligent supply chain business decisions. JOIN TARGET AS LEAD DATA SCIENTIST u2013 SUPPLY CHAIN OPTIMIZATION About us: Working at Target means helping all

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of., • Free medical coverage for employees* via the Health Investment Plan (HIP) PPO, • An excellent retirement savings plan with high employer contribution, • Tuition reimbursement, the ___ student debt program and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree., • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune., • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Santa Clara, CA location in the Vascular division. Abbott Vascular provides innovative, minimally invasive and cost-effective products for treatment of vascular disease. Our extensive portfolio includes drug-eluting stents, bare metal stents, guide wires, balloon dilatation catheters, imaging catheters and software, vessel closure devices and peripheral stents. The Sr. Research Scientist Provides scientific expertise throughout the development and implementation of clinical studies. Writes/manages clinical trial protocols, protocol amendments, clinical study reports, clinical trial registrations and results postings, clinical study project timelines and scientific publications. Interacts with various study support groups cross-functional teams in order to assist in clinical strategy, the development of plans, reports and project deliverables. Interacts with regulatory agencies as needed and will use their scientific and medical knowledge in order to provide strategic communication to staff as well as study sites as directed by your manager. What You’ll Work On • Facilitates development of clinical strategy and trial design by interacting with study PIs, key opinion leaders (KOLs) and collaborating cross functionally with other departments including Global Clinical Operations, Research & Development, Regulatory Affairs, and Biostatistics., • Writes, study protocols, protocol amendments, informed consents, study reports, scientific presentations and papers for publication by evaluating scientific literature, analyzing scientific data and staying abreast of current clinical practice., • Presents scientific data by communicating accurate, succinct summaries of clinical results at industry gatherings, investigational meetings and regulatory agency meetings., • Works collaboratively with R&D, Clinical R&D, Regulatory Affairs, Library Services, Product Performance Group (PPG), Quality Engineering, Clinical Affairs or Clinical Science, Risk Management, Clinical Project Management, external CROs or Medical Writers, Training, Marketing and Sales, Senior Management and investigational sites., • Conducts team meetings, drafting and sending routine correspondence (e.g., newsletters) and/or by presenting regular updates to senior staff., • Creates, manages, or participates in clinical study timelines, and budgets by utilizing the appropriate project management tools, selecting providers or external medical writers, managing vendor contracts as requested, and ensuring expenditures are within budgetary guidelines., • Throughout study, when appropriate, works cross functionally with clinical field teams and data management to identify missing data, uses metrics regularly to ensure data completeness., • May work closely with external groups, such as core laboratories, to assess and interpret data., • Facilitates regulatory submissions and communications by communicating with Regulatory Affairs during the submission process. Generate documents to support regulatory submission for product and/or respond to questions from regulatory authorities about existing submission., • Interprets results in preparation for product applications by evaluating clinical and scientific and risk data and literature, and staying abreast of current clinical practice., • Participates in and supports audits., • Comprehensive knowledge of a particular technological field., • Uses in-depth knowledge of business unit functions and cross group dependencies/ relationships., • Is recognized as an expert in work group and across functions., • Will perform this job in a quality system environment., • Failure to adequately perform tasks can result in noncompliance with governmental regulations., • Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors., • Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Has broad knowledge of various technical alternatives and their potential impact on the business. EDUCATION AND EXPERIENCE YOU’LL BRING Required Experience • Bachelor’s degree in related field, • Minimum 8 years experience, • Experience in clinical trials, working in a regulated environment., • Experience in medical and scientific writing., • Comprehensive knowledge of a particular technological field. Preferred Experience • Familiarity with one or more data analysis software (such as Excel, Tableau, Power BI) is highly desirable., • PhD, MD, PharmD or MSN preferred, or BA/BS with an equivalent combination of education and work experience • Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year. Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on Facebook at ___ and on Twitter @AbbottNews and @AbbottGlobal. The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.

Conduct exploratory analysis and custom studies to assess marketing strategies, delivering clear insights for practical business applications. Collaborate cross-functionally (Product, Engineering, Business Development, Marketing) to identify opportunities for new features, products, and strategic pa

Senior Staff Data Scientist, Trust and Anti-Abuse. Accounts and Behavioral anti-abuse is a top priority at Trust, impacting the health of LinkedIn's ecosystem by protecting member identity and social graph. Experience leveraging government data or publicly available APIs; mentoring data scientists.

Job DescriptionAssociate Fraud Strategy Data Scientist (Hybrid | San Jose, CA) (12-Month Contract | Potential to Extend | U.S. Citizens or Authorized Workers Only) Job Overview We're seeking a highly analytical and motivated Associate Fraud Strategy Data Scientist to join a leading fintech organization's Fraud Risk Strategy team. This role is perfect for an early-career data professional (02 years of experience) who's ready to apply data science and analytics to solve real-world fraud and risk challenges in eCommerce, online payments, and digital transactions. Youll support the design, testing, and optimization of fraud detection models and rules, working closely with product and engineering partners to enhance user trust, reduce losses, and protect our customers. Key Responsibilities * Analyze and model large, complex datasets to detect, prevent, and mitigate fraud across multiple digital channels. * Apply statistical and machine-learning techniques (regression, classification, feature engineering, clustering) to identify fraudulent patterns and emerging risks. * Develop and maintain SQL-based datasets, dashboards, and visualizations to monitor key performance indicators and strategy outcomes. * Partner with senior data scientists, analysts, and risk strategists to implement and evaluate fraud detection models. * Communicate analytical findings, insights, and recommendations clearly to technical and business stakeholders. * Use Tableau or AWS Quicksight to design visual dashboards that support fraud strategy decisions. * Conduct ad-hoc investigations and reporting to support ongoing fraud prevention initiatives. Required Qualifications Experience: * Maximum of 2 years in risk analytics, data analysis, or data science, ideally within eCommerce, online payments, user trust/risk/fraud, or product-abuse investigations. Education: * Bachelor's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining, or a related quantitative field; or equivalent hands-on experience. Technical Skills: * Strong SQL proficiency for querying and manipulating large datasets. * Hands-on Python experience with data-science libraries (NumPy, Pandas, Scikit-learn, etc.). * Proficiency with Excel for exploratory and statistical analysis. * Demonstrated experience applying statistics and data science to solve complex business problems, preferably related to fraud detection or risk mitigation. * Experience creating data visualizations and dashboards using Tableau or AWS Quicksight. * Comfortable working with large-scale datasets in cloud or enterprise environments. Preferred Skills * Familiarity with fraud typologies, payments data, or rule-based detection systems. * Understanding of data pipelines (ETL), predictive modeling, and A/B testing. * Excellent written and verbal communication skills with an ability to translate analytics into actionable business insights. Position Details * Type: 12-Month Contract (covering multiple employee leaves) * Schedule: Monday - Friday | Day Shift * Location: Hybrid San Jose, CA (local candidates only) * Relocation Assistance: Not provided Why Join This role offers the opportunity to: * Gain hands-on experience with fraud analytics and risk modeling at scale. * Work alongside top data scientists and fraud strategists, shaping digital trust and security. * Develop advanced technical and analytical skills in a collaborative, growth-oriented environment.

Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities, • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption, • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments, • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation, • Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and MLRequirements:, • Degree in Computer Science, Mathematics, or a related field, • 8+ years of experience in applied ML research and production deployment, • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production, • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production, • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems, • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP, • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse, • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks, • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities • Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve Computer Vision algorithms to work with other models such as LLMs, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience., • Preferred: PhD or equivalent research experience in Computer VisionProfessional Experience - Minimum, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Knowledge of modern deep learning techniques and Generative AI for photography, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job DescriptionCompany Description Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer. For more information, visit guardanthealth.com and follow the company on LinkedIn, X (Twitter) and Facebook. Job Description About the Role: At Guardant Health, we are committed to positively and significantly impacting patient health through technology breakthroughs that address long-standing unmet needs in oncology. As the leader in the field of liquid biopsy, Guardant Health is looking for a bioinformatics scientist excited about conducting research and early development in an interdisciplinary environment to enable breakthroughs in cancer patient care. We are looking for an individual who will take ownership of innovative projects that utilize high-throughput data as well as novel assay/algorithm development to contribute to Guardant’s vision of cancer care through liquid biopsies, with a focus on early cancer screening, minimal residual disease detection, and therapy monitoring. We are working at the forefront of scientific and technological innovations, developing novel methodologies that deliver substantial clinical impact to patients. If this is something you are passionate about, come join us! Essential Duties and Responsibilities: • Investigate data in model-free contexts integrating fundamental statistical and visualization techniques and biological knowledge to derive insights from large-scale genomics and epigenomic NGS data., • Design, prototype, and analyze performance of novel statistical/machine learning models., • Develop reproducible analyses for research and development activities., • Provide written documentation and specifications., • Collaborate closely with Technology Development scientists on designing experiments to assess and improve assay performance., • Lead efforts across a highly collaborative set of teams to drive early research projects past concept phase and into later stages of development., • Communicate analysis results to stakeholders across computational and experimental teams, and cross-disciplinary company leadership to inform product strategy Qualifications, • Dedicated to making a difference in a rapid-paced, collaborative, startup-like environment, • Ph.D. in computational biology, bioinformatics, genomics, statistics, computer science, machine learning, or related fields, • 12+ years experience in industry/academia post-graduation, • Strong background in probability and statistics, including inference approaches, iterative model development, and hypothesis testing, • Demonstrated track record of developing and implementing novel algorithms that go on to be utilized in a clinically and analytically validated setting, • Extensive experience with analysis of genomic and/or epigenomic NGS data, • Background in cancer genomics and liquid biopsy, • Ability to design and execute analyses in an open-ended, data-limited setting, • Expertise in python and associated statistics/ML/AI/data visualization packages, • Proficiency with Linux command-line and version control tools (git and GitHub), • Excellent communication skills in an interdisciplinary environment, • Experience analyzing external genomic/epigenomic datasets (e.g. TCGA, ENCODE), • Familiarity with high-performance computing infrastructures (e.g. SGE, Spark), • Experience leveraging AWS-based services (e.g., EC2, S3) to speed analyses, • Experience writing/utilizing somatic variant calling and/or alignment software, • Proficiency in C++, • We prefer candidates who are able to work from our locations in Seattle, Palo Alto or San Diego, which follow a hybrid work arrangement. Additional Information Hybrid Work Model: At Guardant Health, we have defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients. The US base salary range for this full-time position is $163,200 to $224,400. The range does not include benefits, and if applicable, bonus, commission, or equity. The range displayed reflects the minimum and maximum target for new hire salaries across all US locations for the posted role with the exception of any locations specifically referenced below (if any). For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full-time position is $192,000 to $264,000. The range does not include benefits, and if applicable, bonus, commission, or equity. Within the range, individual pay is determined by work location and additional factors, including, but not limited to, job-related skills, experience, and relevant education or training. If you are selected to move forward, the recruiting team will provide details specific to the factors above. Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time. Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to Guardant Health is 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, or protected veteran status and will not be discriminated against on the basis of disability. All your information will be kept confidential according to EEO guidelines. To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our Privacy Notice for Job Applicants. Please visit our career page at:

Job Description If you post this job on a job board, please do not use company name or salary. Experience level: Mid-senior Experience required: 3 Years Education level: Bachelors degree Job function: Finance Industry: Financial Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain. Key Job Functions • Design rules to detect/mitigate loss, • Investigate novel/large cases, • Identify root cause, • Set strategy for different risk types, • Work with product/engineering to improvement control capabilities, • Develop and present strategies and guide execution, • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry., • Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience., • Experience using statistics and data science to solve complex business problems., • Proficiency in SQL, Python, Excel including key data science libraries., • Experience working with large datasets., • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes., • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics., • Development of dashboard and visualizations to track KPI of credit strategies implemented, • Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers., • Utilize data analysis to design and implement credit strategies, • Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers., • Data analytics, • Rule development, • Dashboard Creation, • Project Management, • Interview process: Multiple (At home screening, 1 technical interview with senior team member, 1 interview panel with hiring manager and team member)., • Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience., • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry., • Experience using statistics and data science to solve complex business problems., • Proficiency in SQL, Python, Excel including key data science libraries., • Experience working with large datasets., • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics., • Experience with AWS, payment rule systems, and knowledge of credit products.

Job Description Ascendis Pharma is a dynamic, fast-growing global biopharmaceutical company with locations in Denmark, Europe, and the United States. Today, we're advancing programs in Endocrinology Rare Disease and Oncology. Here at Ascendis, we pride ourselves on exceptional science, visionary leadership, and skilled and passionate colleagues. Guided by our core values of Patients, Science, and Passion, we use our TransCon® drug development platform to fulfill our mission of developing new and potentially best-in-class therapies to address unmet medical needs. Our culture fosters a place where skilled, adaptable, and highly resourceful professionals can truly make their mark. We offer a dynamic workplace for employees to grow and develop their skills. The Senior Clinical Scientist is involved in the design, monitoring, and data analysis of the Company’s late-phase clinical trials studying growth hormone, parathyroid hormone, and/or C-type natriuretic peptide therapies. As such, the Senior Clinical Scientist is an important and visible member of the Clinical Development team. The Senior Clinical Scientist position is based in the United States ideally the Scientist will work hybrid from our Palo Alto, CA office but we may consider a remote arrangement for the right candidate. Key Responsibilities • For clinical trials: design, provide oversight, and support site and subject retention, • Ensure successful completion of documents (including clinical trial protocols, investigator brochures, monitoring plans, site training materials, clinical study reports, health authority responses, standard operating procedures, etc.) with cross-functional team members, • Participate on study teams and cross-functional teams as appropriate, and as delegated by the Vice President, Clinical Development, • Ensure consistent use of language and criteria across multiple endocrine projects, • Ensure study integrity, and track accumulating safety and efficacy data, • Anticipate obstacles within a clinical trial, and implement solutions, • Analyze, evaluate, and support accurate interpretation and reporting of clinical data, • Contribute to drafting and reviewing clinical documents, manuscripts, presentations, and regulatory submissions, • Maintain up-to-date knowledge of relevant science, medical information, good clinical practices, and regulatory guidance, • Collaborate with—and serve as a clinical research resource for—cross-functional colleagues to optimize product development, • Cultivate relationships with investigative sites, clinical consultants, and key opinion leaders to represent the interests of the company, • Support corporate strategic and organizational initiatives, • Assist with commercial activities as needed, • Complete assigned tasks thoroughly, accurately, and on time, • Adhere to rigorous ethical standards, • Advanced degree e.g. Ph.D., Pharm.D., MS, or equivalent, • Strong track record of scientific and clinical inquiry, • Understand statistical concepts and clinical trial design, • Understand the connection between nonclinical data and clinical data, • Possess excellent communication skills (both written and verbal), • Learn quickly, follow complex directions under pressure, • Multi-task while remaining organized and attentive to detail, • Work hard, be a trustworthy and collaborative team player, • Take initiative and solve problems of moderate complexity, • Demonstrate sound judgement in terms of handling complex, confidential, and regulated information, • Lead both directly and by example, • Preferred, but not required:, • At least 4 years of experience with clinical trial design and execution, • At least 4 years of pharmaceutical industry experience Benefits • 401(k) plan with company match, • Medical, dental, and vision plans, • Company-offered Life and Accidental Death & Dismemberment (AD&D) insurance, • Company-provided short and long-term disability benefits, • Unique offerings of Pet Insurance and Legal Insurance, • Employee Assistance Program, • Employee Discounts, • Professional Development, • Health Saving Account (HSA), • Flexible Spending Accounts, • Various incentive compensation plans, • Accident, Critical Illness, and Hospital Indemnity Insurance, • Mental Health resources, • Paid leave benefits for new parents A note to recruiters: We do not allow external search party solicitation. Presentation of candidates without written permission from the Ascendis Pharma Inc. Human Resources team (specifically from: Talent Acquisition Partner or Human Resources Director) is not allowed. If this occurs your ownership of these candidates will not be acknowledged.

Job Description JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Wed love to chat if you have: • Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Design rules to detect/mitigate fraud, • Develop python scripts and models that support strategies, • Investigate novel/large cases, • Identify root cause, • Set strategy for different risk types, • Work with product/engineering to improvement control capabilities, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Utilize data analysis to design and implement fraud strategies, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Data analytics and models, • Rule development, • Dashboard Creation, • Project Management, • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience., • Experience using statistics and data science to solve complex business problems., • Experience in SQL, Python, Excel including key data science libraries., • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation., • Experience in data visualization including Tableau., • Experience working with large datasets.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.Key Responsibilities • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve LLM algorithms to work with other models such as computer vision models, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job DescriptionThe CompanyGridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. At Gridmatic, we foster a collaborative and inclusive culture where learning and growth are constant. We move quickly, solve problems with integrity, and balance environmental responsibility with data-driven excellence. The RoleWe are looking for an AI Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves applied research, and hence the ideal candidate will possess a deep understanding of forecasting techniques, and will develop the knowledge and understanding necessary to apply them to energy markets. They will investigate new technologies to better solve problems we already model, as well as designing solutions to problems we don’t yet solve. In addition, they will work to generalize these solutions so they can be applied more broadly, including on academic datasets for the purpose of sharing with the academic community via publication. A successful candidate will embrace constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.What you might work on • Design and implement state of the art deep generative models to capture distributions of quantities in the energy markets, • Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems, • Design, perform, and analyze experiments for new ML techniques, as well as consult on those tasks for others on the ML team, • Keep abreast of latest advances in ML research in order to consider if any new methods are especially promising for problems in the electricity market space, • Generalize and unify problem frameworks across electricity markets to utilize the same solutions across markets, • Author research papers in the fields of generative modeling / forecasting / decision making under uncertaintyYou might be a good fit if you:, • PhD in ML, statistics, or a related quantitative modeling field, • A strong publication record: NeurIPS, ICLR, ICML; and/or papers on forecasting and generative/probabilistic models in CV/NLP/Speech venues., • Proven experience researching and implementing deep learning models, • Enthusiasm for learning, • Understanding of data structures, data modeling and software architecture, • Deep knowledge of math, probability, statistics and algorithms, • Fluency in Python and machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, numpy, and pandas)., • Excellent skills in communication and teamwork #LI-DNIFAQ What’s your policy on remote work?We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week. How does the interview process work?We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team. Join our team and make a difference! Click below or email us at . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Position: Data Scientist - Fraud Strategy - 12 month Contract Trisian-Global Consulting LLC is seeking a highly skilled and experienced Data Scientist for a 12 month contract in San Jose, California. Hybrid environment, must be local to San Jose. NO Sponsorship, C2C, H1B, OPT etc - must be USC or Green Card Holder for W2 Engagement with Client. As a Data Scientist, you will be responsible for developing and implementing data-driven strategies to identify and prevent fraud for our clients. You will work closely with our team of experts to analyze large datasets, build predictive models, and develop fraud detection algorithms to identify potential fraudulent activities This position will support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation and requires experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Key Responsibilities: • Design rules to detect/mitigate fraud, • Develop python scripts and models that support strategies, • Investigate novel/large cases, • Identify root cause, • Set strategy for different risk types, • Work with product/engineering to improvement control capabilities, • Develop and present strategies and guide execution, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Utilize data analysis to design and implement fraud strategies, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Minimum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining., • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Proficiency in AWS Quicksight, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes., • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics