Develop and deploy deep learning models to predict therapeutic intervention effects.
Design experiments and collaborate with cross-functional teams including biologists and wet lab scientists.
Validate models and communicate results to diverse audiences to drive informed decision-making.
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. It is a global company with offices in the US, Switzerland, and Serbia, fostering a collaborative and innovative culture.
Design and review statistical methodology for clinical trial protocols and analysis plans.
Lead execution of statistical analyses for regulatory submissions and exploratory studies.
Effectively convey complex statistical concepts to cross-functional teams and stakeholders.
Natera is a global leader in cell-free DNA testing for oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions who care deeply about their work and each other.
Independently executes GIS projects varying from basic to significant scope and complexity.
Develops databases and mapping outputs to support reports and project deliverables.
Performs quality assurance of GIS data and associated graphic components.
AECOM is the world's trusted infrastructure consulting firm, partnering with clients to solve complex challenges in water, environment, energy, transportation and buildings. With over 50,000 employees globally, it fosters a culture of respect, collaboration, and innovation.
Apply data, statistical models, and machine learning to identify business opportunities and develop solutions.
Collaborate with cross-functional teams of software engineers, data analysts, and product leaders on business initiatives.
Create and maintain reports, dashboards, and presentations to communicate findings and recommendations.
Mercury Insurance helps people reduce risk and overcome unexpected events. With over 60 years in the industry, they are a midsize employer recognized as one of America's Best Midsize Employers for 2026, fostering a collaborative and inclusive culture.
Collaborate with the Land Department to align data models, pipelines, and governance with process improvement initiatives.
Design and maintain analytical solutions using SQL, and contribute across the full analytics lifecycle from discovery to refinement.
Communicate insights and recommendations to technical and non-technical stakeholders, and stay current with emerging analytics technologies.
EQT is an energy company focused on natural gas production. The company emphasizes transparent leadership, collaboration, and supported growth for employees.
Collaborate with Land Department teams to support data science initiatives and advanced analytics.
Conduct code reviews and maintain analytical solutions using SQL and Databricks.
Generate reports and visualizations to communicate data insights to stakeholders.
EQT is a natural gas production company focused on responsible energy development. The company fosters a collaborative culture with transparent leadership and opportunities for growth, employing thousands of professionals.
Lead and grow a high-impact BI data engineering team, setting technical vision and roadmap for data infrastructure.
Design and build scalable ETL/ELT pipelines and data warehouse models, contributing hands-on code in Python and SQL.
Partner cross-functionally with Product, Engineering, Analytics, and Senior Leadership to ensure data reliability, security, and alignment with business priorities.
Carrot is a global fertility and family care platform that provides clinical guidance and support for members from pre-pregnancy through menopause. It serves over a thousand multinational employers and health plans, with a culture focused on mission-driven work and innovation.
Partner with business stakeholders to translate needs into scalable data models and actionable insights.
Design, develop, and analyze data solutions to support decision-making across operations.
Build and maintain dashboards and reports with a focus on usability, performance, and accuracy.
EQT is a natural gas company that values transparent leadership and connected impact. With a focus on supported growth, we offer a collaborative environment where every voice is heard and your work drives business decisions.
Lead a multidisciplinary team of ML engineers, data scientists, and analysts to improve identification accuracy.
Own the team's technical roadmap and drive measurable model quality outcomes at massive scale.
Collaborate with engineering, product, and customer teams to translate business needs into technical priorities.
This company provides a critical identification platform that leverages machine learning and data science for fraud prevention. It operates with a globally distributed team and values diverse perspectives and technical excellence.
Design and maintain dashboards, scorecards, and executive visualizations for Zero Trust maturity and implementation data.
Partner with data engineering teams to automate dashboard refreshes and ensure consistent, trusted metric definitions.
Support quarterly maturity reports, gap analyses, and implementation reporting with effective visual decision support.
Our partner is focused on supporting a large-scale Federal Zero Trust acceleration initiative, transforming complex technical data into clear visual insights for decision-making. The team size and culture are not specified, but the work environment is fully remote and emphasizes collaboration with data engineering and cross-functional teams.