Our client, a leading pharmaceutical company, is hiring a Scientist – Computational Biology, on a contract basis.
Job ID: 83605
Work Location:
San Diego, CA – 100% on site role
Summary:
We are seeking an experienced and highly skilled scientist with a PhD in Bioinformatics, Computational Biology, or a related field to join our team. This role will focus on identifying novel target antigens for radiopharmaceutical therapy in oncology. You will play a prominent role in bioinformatics efforts analyzing large scale multi-dimensional biology datasets and real-world patient data to gain a deep understanding of the cancer landscape and identify therapeutic opportunities in areas of unmet patient need.
Education/Experience:
- PhD in Bioinformatics, Computational Biology, Cancer Biology, or a related field with 3+ of relevant industry experience.
- Expertise in bioinformatics tools and software for RNA-seq, proteomics, and other omics data analysis.
- Individual contributor role requiring 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.
- Experience with clinical database (SDTM/ADaM) and biomarker statistical analysis is a plus.
- Strong understanding of cancer biology, especially in the context of targeted therapies and/or radiopharmaceuticals.
- Demonstrated ability to lead projects and work in interdisciplinary teams.
- Excellent communication skills, both written and verbal, with the ability to present complex data to diverse audiences including biologists and clinicians.
- A strong track record of publications or contributions to impactful research.
Knowledge/Skills:
- Experience with immune-oncology and radiopharmaceuticals.
- Familiarity with cloud-based platforms (e.g., AWS, Google Cloud) for large-scale data analysis.
- Knowledge of machine learning techniques and their applications in bioinformatics.
Responsibilities:
- 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 hypothesis 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.
Pay: $80-$90/hr