About the role

Aplyr's Quick Take

This role is for a Biological Data Scientist focused on analyzing population genomics data to inform drug development decisions. You'll be using computational genetics, machine learning, and statistical methods to extract insights and build tools for data analysis. It's primarily an individual contributor role.

Good fit

Ideal candidates will have a strong background in data science, particularly in genomics or computational biology, and several years of experience in a related field. A collaborative and innovative mindset will thrive in this fast-paced environment.

Worth noting

The company emphasizes a unique approach to biotech by pooling resources for early-stage research, which may appeal to those interested in innovative and unconventional methods. The salary range is quite broad, indicating potential for negotiation based on experience.

Mavericks Wanted

When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on
 
In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. 
 
Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation—including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work.

What You'll Do

The Computational Genetics team is seeking a full-time (Senior) Data Scientist who will focus on extracting insights from primarily population genomics data. The team provides data-driven insights to make critical decisions for pursuing new opportunities and advancing internal development projects. The role involves leveraging methods from multiple disciplines including computational genetics, statistical inference, machine learning, and simulation frameworks. This position will also be involved in building and maintaining computational tools and infrastructure for streamlined and reproducible analyses.

Responsibilities

Design, execute, and interpret analyses of diverse quantitative and binary traits in large-scale population cohorts to support internal research programs and external opportunity evaluation (e.g., new program opportunities and partnership diligence)
Perform integrative analyses of human genetics and EHR data to enable target identification, biomarker discovery, and clinical development decision-making
Derive insights through analysis of diverse data sources, including claims data, clinical trial information, business metrics, and drug development pipeline data
Collaborate closely with cross-functional stakeholders, including biology, clinical, and business development teams, to translate analytical findings into actionable insights
Communicate results clearly and effectively through internal presentations, written reports, and contributions to external scientific publications and conferences

Where You'll Work

This is a U.S.-based remote role that will require quarterly, or as needed visits to our San Francisco Office.

Who You Are

Skills & Tags
python aws machine learning ai ios data design

Aplyr's read

BridgeBio Pharma is a dynamic biotechnology firm dedicated to tackling genetic diseases and cancers, attracting professionals passionate about impactful medical advancements.
Synthesized from recent postings & public sources

What's promising

•BridgeBio focuses on innovative treatments for genetic diseases, offering significant potential for groundbreaking medical advancements.
•The company has a robust pipeline with multiple late-stage clinical trials, indicating strong future growth prospects.
•BridgeBio's strategic partnerships enhance its research capabilities and expand its therapeutic reach.

What to watch

•The company faces high financial risk due to significant R&D expenditures without guaranteed success.
•BridgeBio operates in a highly competitive market with numerous established players.
•Regulatory hurdles for drug approvals can delay product launches and impact revenue.

Why BridgeBio Pharma

•BridgeBio's focus on genetic diseases and cancers sets it apart in the biotechnology sector.
•The company's decentralized model allows for nimble and efficient project management.
•BridgeBio's commitment to rare diseases addresses unmet medical needs, differentiating its mission.

Aplyr’s read is generated by AI from public sources. Was it useful?