Job Details

Overview

Join to apply for the SCIENTIST COMPUTATIONAL BIOLOGY role at Tap Growth ai.

We are seeking a motivated and detail-oriented Scientist in Computational Biology to join our dynamic team. The ideal candidate will possess a strong foundation in computational methods and biological data analysis to contribute to cutting-edge research and development projects.

Location and Work Mode

???? Location: San Diego, CA

⏰ Work Mode: Work From Office

Role and Compensation

???? Role: Scientist Computational Biology

Pay Scale: $150,708 – $188,392 (Dependent on Experience)

What You'll Do

• Target Antigen Discovery: Lead efforts to identify and validate novel antigen targets for radiopharmaceutical therapy in oncology through integration of multi-omics data, including RNA sequencing, proteomics, and genomics.
• Bioinformatics Analysis: Design and implement novel analytical frameworks to process, visualize and interpret high throughput sequencing and multiplex flow cytometry data from pre-clinical experiments, Real-World cohorts and internal clinical trial data to validate pharmacodynamics effects, confirm the mechanism of action, and enable patient enrichment strategies.
• Collaboration: Work closely with computational biology colleagues, and engage with cross-functional teams, including discovery, translational, and clinical scientists, to provide bioinformatics expertise and guidance on experimental design.
• Interpretation of Results: Generate hypotheses based on the analyses and present findings to both technical and non-technical stakeholders, providing actionable insights to inform radiopharmaceutical discovery and enable data-driven decision-making.
• Oncology Expertise: Apply oncology expertise to understand the molecular mechanisms underlying cancer and therapeutic resistance, particularly in relation to radiopharmaceutical therapy.

What We're Looking For

• PhD in Bioinformatics, Computational Biology, Cancer Biology, or a related field with 3+ years of relevant industry experience.
• Expertise in bioinformatics tools and software for RNA-seq, proteomics, and other omics data analysis.
• Independent contributor with a strong background in -omic (DNA, RNA, epigenetic, proteomic) data analysis, biological interpretation and large-scale data analysis, particularly in oncology.
• Proficiency in programming languages such as Python, R, and/or Perl, and experience with bioinformatics software and platforms.
• Strong experience in statistical modeling and/or machine learning approaches, such as mixed-effects models, predictive modeling, etc., to represent biological concepts.

Ready to make an impact? Apply now and let's grow together!

Other

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting

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