Integrated Resources, Inc ( IRI )
Computational Biologist
Integrated Resources, Inc ( IRI ), San Diego, California, United States, 92189
Base pay range
$85.00/hr - $90.00/hr Direct message the job poster from Integrated Resources, Inc ( IRI) Lead Recruiter at Integrated Resources, Inc ( IRI )
Title: Computational Biologist Duration: 6 Months+ 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 We need someone who can hit the ground running eg a PhD/master’s level candidate with 2-4 years of experience in an industry setting. 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 Client 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 Product 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 Client antigen targets for radiopharmaceutical therapy in oncology through integration of multi-omics data, including RNA sequencing, proteomics, and genomics. Bioinformatics Analysis: Design and implement Client 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. Seniority level
Mid-Senior level Employment type
Contract Job function
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$85.00/hr - $90.00/hr Direct message the job poster from Integrated Resources, Inc ( IRI) Lead Recruiter at Integrated Resources, Inc ( IRI )
Title: Computational Biologist Duration: 6 Months+ 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 We need someone who can hit the ground running eg a PhD/master’s level candidate with 2-4 years of experience in an industry setting. 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 Client 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 Product 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 Client antigen targets for radiopharmaceutical therapy in oncology through integration of multi-omics data, including RNA sequencing, proteomics, and genomics. Bioinformatics Analysis: Design and implement Client 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. Seniority level
Mid-Senior level Employment type
Contract Job function
Other Industries
Pharmaceutical Manufacturing and Biotechnology Research Referrals increase your chances of interviewing at Integrated Resources, Inc ( IRI ) by 2x Sign in to set job alerts for “Computational Biologist” roles.
Bioinformatics Scientist Intern, NGS/Deep Learning – Summer 2026
Bioinformatics Scientist Intern, MRD – Summer 2026
Computational Biologist Postdoc - Contract
Senior Scientist, Cardiac Biology Transcriptomics
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr