Computational Biology Scientist

Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap – Right Talent – Right Time – Right Place – Right Price and acting as a Career Coach to our consultants. Company: One of Our Clients Job Description: Job Title: Computational Biology Scientist Location: San Diego, CA 92121 (100% Onsite) Duration: 06+ Months (Extendable) Ray Rate Range: $80.00 – 90.57/hr on W2 Top Skills Expertise in analyzing RNA-seq, proteomics, genomics, and other high-throughput sequencing data. • Proficiency in Python an/or R • Experience with statistical modeling and machine learning • Ability to generate hypotheses from their analyses and present findings to both technical and non-technical stakeholders; Ability to translate complex data into actionable insights • Deep understanding of cancer biology and/or radiopharmaceutical is preferred Job 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. Key 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. Qualifications: • 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. Preferred 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. Awards and Accolades: America's Most Honored Businesses (Top 10%) Awarded by USPAAC for the Fastest Growing Business in the US 12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 2019, 2020) Fastest 50 by NJ Biz (2020, 2019, 2020) INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to this list) Top 100 by Dallas Business Journal (2020 and 2019) Proven Supplier of the Year by Workforce Logiq (2020 and 2019) 2019 Spirit of Alliance Award by Agile1 2018 Best of the Best Platinum Award by Agile1 2018 TechServe Alliance Excellence Awards Winner 2017 Best of the Best Gold Award by Agile1(Act1 Group)