SCIENTIST, COMPUTATIONAL BIOLOGY

Innova Solutions•San Diego, CA

15h•Onsite

About The Position

Innova Solutions has a client that is immediately hiring for a Scientist- Computational Biology. This is a full-time, 06-month contract position located in San Diego, CA. As a Scientist- Computational Biology, you will lead efforts to identify and validate novel antigen targets for radiopharmaceutical therapy in oncology by integrating multi-omics data. You will design and implement analytical frameworks to process, visualize, and interpret high throughput sequencing and multiplex flow cytometry data. Collaboration with computational biology colleagues and cross-functional teams is essential, as is providing bioinformatics expertise and guidance on experimental design. You will generate hypotheses based on analyses, present findings to stakeholders, and apply oncology expertise to understand molecular mechanisms of cancer and therapeutic resistance, particularly in relation to radiopharmaceutical therapy.

Requirements

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.
Strong understanding of cancer biology, especially in the context of targeted therapies and/or radiopharmaceuticals.
A strong track record of publications or contributions to impactful research.

Nice To Haves

Experience with clinical database (SDTM/ADaM) and biomarker statistical analysis is a plus.
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

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.
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.
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.
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.
Apply oncology expertise to understand the molecular mechanisms underlying cancer and therapeutic resistance, particularly in relation to radiopharmaceutical therapy.