Quantitative Research Intern Jobs

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Develop and validate new algorithms to analyze large multimodal epigenomic datasets Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems Visualize results and present complex findings to both technical and non-technical audiences Contribute to the team’s standards for code quality and reproducibility QUALIFICATIONS: Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience Track record developing and validating analysis workflows for high-throughput sequencing data Experience applying and evaluating statistical and ML methods to large datasets Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems. Software development experience, including proficiency in Python and its scientific computing ecosystem Fluent using Linux command-line tools and cloud computing environments Strong verbal and written communication skills Preferred Experience Working knowledge of DNA methylation and other epigenomic data Experience with cell-free DNA and liquid biopsy samples Ba

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Develop and validate new algorithms to analyze large multimodal epigenomic datasets Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems Visualize results and present complex findings to both technical and non-technical audiences Contribute to the team’s standards for code quality and reproducibility QUALIFICATIONS: Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience Track record developing and validating analysis workflows for high-throughput sequencing data Experience applying and evaluating statistical and ML methods to large datasets Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems. Software development experience, including proficiency in Python and its scientific computing ecosystem Fluent using Linux command-line tools and cloud computing environments Strong verbal and written communication skills Preferred Experience Working knowledge of DNA methylation and other epigenomic data Experience with cell-free DNA and liquid biopsy samp

Job ID: 111270 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Responsible for influencing product roadmaps through analytics and financial and business modeling. Develop hypotheses and analytical frameworks for understanding pricing dynamics and market outcomes. Analyze collected data and extract information relevant to problems. Work closely with product leads to build efficient tools, systems, and processes to manage pricing and driver earning at scale. Develop and test quantitative models, support software, and analytical tools. Experience: Education and Experience: Master's degree or foreign equivalent in Operations Research, Analytics, or related field. 3 years of experience in job offered, analytics, or related occupation. Skills: Experience with quantitative analysis, predictive modeling, and machine learning. Experience with programming languages, analytical software, and database applications. Experience with business analytics and authoring data pipelines. Experience with optimization and programming, including C++, R, Python, and algorithms. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, col

About Us YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It's Like to Work Here Ownership is real, not aspirational. An analyst here can own a data product end-to-end—from methodology to client delivery—and directly influence products used by many of the world's largest investment firms. Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here. AI is a core working tool. We're actively rebuilding how analytical work gets done—using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited by that, you'll thrive here. About the Role YipitData's Data Feeds team transforms our proprietary datasets into commercial data products used by many of the world's largest hedge funds, asset managers, and quantitative investors. Our products help investors answer questions about consumer spending, enterprise software adoption, cloud infrastructure, healthcare, and dozens of other markets—using proprietary datasets that clients integrate directly into their investment workflows. The Data Feeds team creates products that fit seamlessly into client investment workflows—whether that's through granular datasets, aggregated metrics, forecasting methodologies, APIs, or entirely new AI-powered product experiences. As an analyst on the team, you'll sit at the intersection of analytics, product, and commercialization. You'll partner closely with

Use Your Power for Purpose Every day, Pfizer’s unwavering commitment to quality ensures the delivery of safe and effective products to patients. Our science and risk-based compliant quality culture is both flexible and innovative, always putting the patient first. Whether you are involved in development, maintenance, compliance, or research analysis, your contribution directly impacts patients. What You Will Achieve In this role: The incumbent is a member of the Quality Environmental Control (EC) Laboratory team. Under the supervision of the Environmental Monitoring (EM) Section Manager, and designated EM Shift Team Leader(s), the incumbent will be responsible for the collection, analysis, and inspection of manufacturing environmental conditions and materials according to Standard Operating Procedures (SOPs). Samples can include both physical and microbiological, air, surface, and water system products, as well as commodity items. In addition, the incumbent shall be responsible for both physical and microbiological, collection and analysis of pharmaceutical waters, raw materials, active pharmaceutical ingredients (APIs), and finished products according to Standard Operating Procedures (SOPs). Assays to be performed will be qualitative, quantitative, and investigational in nature and are performed in compliance with USP, FDA, other regulatory body requirements, Pfizer SOPs, and approved license requirements. Aseptic gowning practices will also be adhered to for the performance of activities as required. Results are compared with specifications, documented as per data integrity regulations, and incumbent is responsible for providing communication of all process and specification deviations. Incumbent has working knowledge of EM, microorganism handling, aseptic technique, and quality concepts as to perform routine assignments with minimal supervision. Additional responsibility may include performing data trending

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products. PRIMARY RESPONSIBILITIES: Strategy and Vision Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development. Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices Infrastructure and Automation Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms. Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production. Cross-Functional Collaboration Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization Team Leadership Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership. Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health. QUALIFICATIONS: Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent). Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams. Hands-on experience archi

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products. PRIMARY RESPONSIBILITIES: Strategy and Vision Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development. Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices Infrastructure and Automation Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms. Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production. Cross-Functional Collaboration Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization Team Leadership Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership. Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health. QUALIFICATIONS: Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent). Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams. Hands-on experience archi

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Dscout is currently hiring for an experienced Senior FP&A Analyst for an immediate need in AUSTIN, TX . This individual will report to the CFO and senior leadership and will be responsible for utilizing both quantitative and qualitative analyses of all operational aspects of the company in order to evaluate the company's progress toward achieving its goals and to map out future goals and plans. This individual will play a critical role in considering economic and business trends, reviewing past company performance, and anticipating obstacles and potential issues, all with an eye toward forecasting the company's future financial results. This person will work cross-functionally with other departments in the execution of the role's duties. If you are excited about the challenge of building an incredible product while also helping to mentor and build a great engineering team, we’d love to hear from you! What You Will Do at Dscout: Create, update, and maintain financial models and detailed forecasts of the company's future operations/ Assess and track overall financial health, primarily by using key financial ratios common to SaaS companies and marketplace/ Determine gross margin and net margin contributions of our products or product line/ Examine and evaluate the cost-efficiency of each department, in light of what percentage of the company's financial resources each department consumes. Work with individual departments to prepare budgets and consolidat

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Manager, Market Intelligence will lead strategic workstreams end-to-end, directing team analysis and shaping executive-ready recommendations on the enterprise's most important growth and corporate development questions. Partnering closely with the Enterprise Strategy team, this role drives market research, competitive analysis, and project management to identify growth opportunities, assess markets, and support M&A and partnership evaluation. The Senior Manager will leverage AI-enabled research and market intelligence tools to accelerate insight generation and inform enterprise decision-making, while coaching junior colleagues and building alignment across senior stakeholders. Key Responsibilities Lead one or more Market Intelligence workstreams by defining scope, structuring plans, and adjusting course as priorities evolve. Analyze market trends, competitive dynamics, macroeconomic factors, and growth opportunities to shape strategic recommendations. Direct hypothesis-driven analysis, ensuring insights are accurate, timely, and decision-ready. Synthesize qualitative and quantitative insights into clear points of view by challenging assumptions, reconciling differing perspectives, and connecting findings to broader strategic implications. Craft executive-ready narratives, business cases, and recommendations

Overview: Guidepoint Insights enables clients to make better-informed decisions through investor-grade surveys, expertly moderated teleconferences, and a growing transcript library. Our team combines former investment professionals, equity research analysts, industry veterans, and scientists to generate content that drives actionable healthcare research. We are looking to add Healthcare Content Analysts, Focus Polls to our team. This role is fundamental to the development, analysis, and presentation of Guidepoint’s healthcare surveys. Healthcare Content Analysts collaborate with analysts to translate investment questions, product catalysts, and healthcare market developments into clear, neutral, and analytically rigorous surveys. The ideal candidate combines strong healthcare research and scientific communication skills with analytical rigor and the ability to develop high-quality surveys and translate quantitative findings into clear, actionable insights for an investment audience What You’ll Do: Independently develop standardized and repeat survey questionnaires using approved templates, historical surveys, company materials, and relevant research Research drugs, medical devices, procedures, companies, treatment markets, and other healthcare topics necessary to develop high-quality surveys Review and validate expert survey responses for inconsistencies, outliers, and potential data-quality issues Analyze survey results to identify adoption trends, utilization patterns, market-share shifts, and competitive dynamics Translate quantitative survey findings into investor-ready charts, presentations, and concise, actionable takeaways Identify potential survey topics based on product launches, clinical and regulatory catalysts, earnings, industry developments, prior survey performance, and emerging investment debates Contribute to the development and the ongoing build-out of Guidepoint’s healthcare knowledge base What You Have: Master’s degree in Life Sciences, Public He

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Develop and automate methodologies to analyze and resolve supply shortages through data mining and planning system insights. Optimize silicon supply plans using industrial engineering tools to ensure inventory distribution across all designs based on Micron strategy. Review and influence demand signals to improve supply fill rates and address shortages. Implement and maintain Fab Device ID (DID) prioritization logic to guide demand and safety stock fulfillment across fabs. Support modeling of trade-off scenarios between Fab constraints to enable flexible capacity planning and minimize trade ratio losses. Integrate Fab stability logic into planning systems and validate related dashboards and KPIs (e.g., Tableau) for performance monitoring. Analyze demand, supply, and shipment trends using statistical tools to identify risks and opportunities to the business revenue plan. Evaluate key demand signals including customer backlogs and forecasts using rule-based and statistical demand analytics engines. Synthesize large volumes of quantitative and qualitative data into actionable insights for leadership and cross-functional teams. Evaluate inventory mix to identify slow-moving, orphaned, overstocked, or quality-hold inventories and collaborate with stakeholders on resolution strategies. Employer will accept a Master’s degree in Industrial Engineering, Operations Research, Supply Chain or a related field. Position requires: 1. Operations Research skills in one of the following: Linear Programming, Queuing Theory, Statistical Anal

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview Multifamily Capital Markets is seeking an exceptionally curious, analytical, and driven professional to help identify, prioritize, and deliver the initiatives that can most improve the business. This is a rare opportunity to develop a broad view across the Multifamily Capital Markets organization, including loan pricing, pipeline risk management, portfolio management, securitization, credit-risk transfer, operations, and technology. You will work directly with a Capital Markets leader who brings deep Multifamily expertise, extensive Wall Street markets and product experience, and a track record of developing innovative solutions to complex financial problems. Together, you will examine how the business operates, identify its highest-impact opportunities, challenge existing assumptions, and develop solutions from first principles. This is a hands-on role combining original problem-solving, quantitative analysis, and end-to-end initiative delivery. You will research unfamiliar topics; analyze financial, market, and operational data; build analytical models and lightweight Python prototypes; test hypotheses; frame business questions; and develop fact-based recommendations. You will write the memos and presentations that move decisions forward, document conclusions and requirements, coordinate contributors, maintain project plans and follow-ups, and drive multiple initiatives through organizational and technical roadblocks from initial idea through implementation. This role is designed for someone who enjoys learning unfamiliar topics, solving difficult problems, and taking ownership of outco