Senior Computational Biologist
2 weeks ago
We are Lifelancer, a pioneering organization at the forefront of Real-World Data Science. Our mission is to harness the power of precision medicine to drive groundbreaking healthcare advancements.
Salary: $120,000 - $180,000 per yearAs a Senior Computational Biologist in our Real World Data Science organization, you will play a pivotal role in designing and executing research projects for early-stage to mid-stage biopharmaceutical partners. This position involves performing complex computational analyses and providing actionable insights to guide decision-making for biopharma clients.
Main Responsibilities:
- Bioinformatics Analysis: Perform detailed target characterization, biomarker discovery, and identify ideal patient populations through large-scale research projects.
- Project Management: Create research plans, execute aims, supervise bioinformaticians, and deliver reports and results.
- Method Development: Develop methods for analyzing multi-omics data, building analysis pipelines, algorithms, and validating tools for oncology research.
- Collaboration: Work with scientists to understand research questions and propose solutions.
- Code Development: Write clean, maintainable, documented code.
You will be expected to execute complex research projects integrating molecular and clinical data to derive real-world insights for biopharma partners. Additionally, you will navigate client interactions, present scientific findings clearly and meaningfully to diverse sets of external stakeholders, and document, summarize, and communicate highly technical results and methods clearly to non-technical audiences.
Qualifications:- Education: PhD in a quantitative discipline (e.g., Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology) plus 2 years of experience or postdoctoral studies. Alternatively, a PhD in Molecular Biology or Immunology combined with strong computational biology skills.
- Experience: Minimum 2+ years of experience in drug development leveraging genomic and multimodal data for drug discovery and development.
- Technical Skills: Proficient in R, Python, and SQL. Strong understanding of cancer biology.
- Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
Lifelancer offers a dynamic work environment, collaborative team, and opportunities for professional growth and development. We are committed to fostering a culture that values diversity, equity, and inclusion.
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