Build and deploy models and digital tools that support drug substance, drug product, packaging, and labeling processes.
Partner with technical teams and CDMOs to turn process data into predictive models and analytics for phase-appropriate decisions.
Develop reusable data products and dashboards in Databricks, applying AI/ML to accelerate CMC data review.
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into therapies for central nervous system disorders. It fosters a culture of trust, ownership, curiosity, and results while developing high-impact medicines.
Develop statistical models and machine learning algorithms to improve patient enrollment and trial management.
Build and optimize data pipelines and analytical workflows using AWS tools like Athena, Redshift, SageMaker, and dbt.
Ensure data science practices comply with HIPAA and GDPR while monitoring models for bias and performance drift.
Care Access brings clinical research and health services to communities worldwide through hundreds of research locations and mobile clinics. The company is dedicated to making healthcare more accessible and puts people at the heart of medical progress.
Own model strategy and selection using rigorous benchmarks and statistical analysis.
Design and maintain evaluation methodologies for AI systems, including offline sets and LLM-as-judge frameworks.
Develop classification, fine-tuned, and agentic AI models to improve accuracy, cost, and latency.
A production agentic AI platform that builds and deploys advanced machine learning systems. The team is collaborative and values innovation, offering a remote work environment with high autonomy.
Lead the identification, development, and application of innovative statistical methodologies for clinical development programs.
Provide expert statistical consultation and shape statistical strategies for clinical trial design and analysis.
Mentor statisticians and build a statistical innovation team to foster methodological excellence.
Alnylam is the leader in RNAi therapeutics, a revolutionary approach with the potential to transform the lives of people with rare and common diseases. The company is a globally recognized top employer with an authentic, inclusive culture and a deep pipeline, late-stage programs, and a bold vision.
Own and clean the data foundation: integrate external credit, bank, and tax data with engineering.
Develop underwriting criteria, credit limits, and portfolio monitoring using SQL and Python.
Build dashboards, early-warning signals, and collection insights to reduce losses.
Jeeves is a stablecoin-native banking platform for global enterprises offering cards, payments, and treasury. With thousands of customers across 35 countries and $400M+ funding, it's a high-growth, relentless culture.
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
Own projects end-to-end across search, AI, instant answers, and revenue optimization.
Build monitoring pipelines, evaluation datasets, and trigger systems that balance quality and privacy.
DuckDuckGo is an online protection company raising the standard of trust online through private search, browser, and AI products. Founded in 2008 and profitable since 2014, the remote-first team of 300+ emphasizes trust, inclusivity, and empowered project management.
Design, develop, and deploy advanced machine learning and statistical models that optimize the global supply chain, including demand forecasting and supplier risk modeling.
Own the full ML stack from modeling and MLOps to deployment and monitoring, building production systems that drive real business decisions.
Partner cross-functionally with teams in Planning, Procurement, Fulfillment, Finance, Sales, Engineering, and executive leadership to align on data requirements and drive adoption.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights and improved efficiency. As a recently public company, Samsara fosters a culture of ownership and long-term impact, with a flexible remote model and comprehensive benefits for its diverse team.
Perform independent model validations and reviews across credit, fraud, BSA/AML, CECL, finance, liquidity, and pricing.
Assess model risk and materiality, maintain the model inventory, and review monitoring plans.
Partner with Data and AI Governance teams and support regulatory exams and Internal Audit reviews.
Mercury is a financial technology company that provides banking services through partner banks. The company is scaling rapidly and fosters a fast-moving, collaborative culture that values diversity and belonging.
Develop agentic research systems to automate mechanistic model development for biochemical and physiological processes.
Design and train machine learning models for in-context learning and few-shot adaptation on molecular and tabular data.
Collaborate with chemists and biologists to drive drug discovery decisions using AI models.
PostEra is building an AI-first biotech, using its Proton AI platform to accelerate the discovery of new medicines for patients. The company has a minimalist organizational structure, celebrating individual achievement through proportional compensation and collaboration toward delivering cures.
Perform lead biostatistician role providing technical expertise for complex clinical studies.
Develop statistical sections of protocols, analysis plans, and review tables/figures for regulatory submissions.
Partner with statistical programmers to manage timelines and ensure quality deliverables.
Freenome is developing in vitro diagnostic products for early cancer detection through blood tests. The company values diversity and fosters a collaborative, fast-paced culture.
Own high-impact ranking models powering personalized feeds and digest emails.
Work across the full ML lifecycle, from data pipelines to production deployment.
Collaborate with a distributed engineering team on modern recommendation techniques.
They operate a large-scale knowledge-sharing platform. The company values autonomy, continuous learning, technical excellence, and thoughtful experimentation.
Explore complex datasets to identify fraud patterns and behavioral signals.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean, well-tested code and work with engineering to bring models into production.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.
Lead development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data.
Build interpretable, well-calibrated models and drive new methods from prototype through scalable implementation to clinical validation.
Collaborate with molecular biologists and clinical experts and mentor junior scientists.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions who care deeply for the work and each other.
Develop and implement data science strategies to enhance ML models for lead scoring, churn, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to drive end-to-end data science initiatives from data to deployment.
Communicate findings clearly to technical and non-technical audiences for business impact.
Engine is an AI-native platform for intelligent travel, powering modern business travel with proprietary technology and supply. Serving 40,000+ customers and nearly 2 million travelers, it is recognized as a Best Place to Work with an ambitious, high-ownership culture.
Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
Collaborate with data and application engineers on pipelines, version control, testing, and deployment, while documenting data lineage and limitations.
CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Every employee contributes to innovations that transform patient care, supported by a culture of curiosity, accountability, and transparency.
Build and operate production ML systems for recommendations, ranking, and personalized action selection across Stripe's Growth Platform.
Improve contextual bandit and policy-learning approaches, including exploration, reward design, and adaptive user feedback.
Develop reliable data and feature pipelines, reusable tooling, and online experiments to drive measurable business outcomes.
Stripe is a financial infrastructure platform for businesses of all sizes, enabling payments and revenue growth. With millions of companies as customers, Stripe fosters a culture of passion, grit, and integrity while working to increase the GDP of the internet.
Monitor production health across every graph, catching errors and silent failures proactively.
Triage incoming issues, fix small things directly, and route larger problems to the right owner.
Track cost, latency, usage, and build business metrics to show the agent's ROI.
LangChain builds the foundation for intelligent agent engineering, helping developers move from prototypes to production-ready AI agents. With over 100M monthly open source downloads and backing from top VCs, the company is at a stage where all team members have meaningful impact.
Defines enterprise technical governance and strategy for clinical data management across Latin America.
Oversees database design, testing, integration, and archival to ensure compliance and quality.
Mentors technical teams and drives innovation in data platforms and processes.
Precision Medicine Group is a life sciences company specializing in precision medicine solutions. They are expanding their data management capabilities across Latin America, building a new regional technical data management organization.
Develop and deploy full-stack ML models for financial crime detection in transaction processing and onboarding.
Own the Dynamic Risk Score (DRS) system, scoring clients daily and driving quarantine and alert decisions.
Set up monitoring and champion-challenger frameworks to ensure best models are always in production.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over 300 employees and a start-up culture, they prioritize innovation, swift implementation, and employee empowerment.
Develop and maintain statistical, econometric, and time series models to forecast passport demand.
Apply forecasting methods such as regression, ARIMA, exponential smoothing, state space models, and Bayesian methods.
Perform model validation, backtesting, sensitivity analysis, and communicate findings to stakeholders.
LMI is a digital solutions provider that accelerates government impact with innovation and speed, bringing commercial-grade platforms and AI to federal agencies. Headquartered in Tysons, Virginia, LMI serves the defense, space, healthcare, and energy sectors, with a focus on agility and collaboration.