Net2Source (N2S)
Computational Biology Scientist
Net2Source (N2S), San Diego, California, United States, 92189
Overview
Job Title: Computational Biology Scientist Duration: 06+ Months (Extendable) Ray Rate Range: $80.00 – 90.57/hr on W2 Company: One of Our Clients Base pay range: $80.00/hr - $90.00/hr Top Skills
Expertise in analyzing RNA-seq, proteomics, genomics, and other high-throughput sequencing data. Proficiency in Python and/or R Experience with statistical modeling and machine learning Ability to generate hypotheses from analyses and present findings to both technical and non-technical stakeholders; translate complex data into actionable insights Deep understanding of cancer biology and/or radiopharmaceuticals 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 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 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 analyses and present findings to both technical and non-technical stakeholders, providing actionable insights to inform radiopharmaceutical discovery and data-driven decision-making. Oncology Expertise: Apply oncology expertise to understand 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+ years of relevant industry experience. Expertise in bioinformatics tools and software for RNA-seq, proteomics, and other omics data analysis. Strong background in -omic data analysis (DNA, RNA, epigenetic, proteomic) for 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 databases (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 Fastest 50 by NJ Biz INC 5000 Fastest growing for 8 consecutive years Top 100 by Dallas Business Journal Proven Supplier of the Year by Workforce Logiq 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) Seniority level
Mid-Senior level Employment type
Contract Job function
Science, Manufacturing, and Analyst Industries
Biotechnology Research and Pharmaceutical Manufacturing
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Job Title: Computational Biology Scientist Duration: 06+ Months (Extendable) Ray Rate Range: $80.00 – 90.57/hr on W2 Company: One of Our Clients Base pay range: $80.00/hr - $90.00/hr Top Skills
Expertise in analyzing RNA-seq, proteomics, genomics, and other high-throughput sequencing data. Proficiency in Python and/or R Experience with statistical modeling and machine learning Ability to generate hypotheses from analyses and present findings to both technical and non-technical stakeholders; translate complex data into actionable insights Deep understanding of cancer biology and/or radiopharmaceuticals 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 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 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 analyses and present findings to both technical and non-technical stakeholders, providing actionable insights to inform radiopharmaceutical discovery and data-driven decision-making. Oncology Expertise: Apply oncology expertise to understand 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+ years of relevant industry experience. Expertise in bioinformatics tools and software for RNA-seq, proteomics, and other omics data analysis. Strong background in -omic data analysis (DNA, RNA, epigenetic, proteomic) for 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 databases (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 Fastest 50 by NJ Biz INC 5000 Fastest growing for 8 consecutive years Top 100 by Dallas Business Journal Proven Supplier of the Year by Workforce Logiq 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) Seniority level
Mid-Senior level Employment type
Contract Job function
Science, Manufacturing, and Analyst Industries
Biotechnology Research and Pharmaceutical Manufacturing
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