Mindlance
D05 - DRUG DISCOVERY RESEARCH / BIOLOGICAL RESEARCH - SCIENTIST, COMPUTATIONAL B
Mindlance, San Diego, California, United States, 92189
100% onsite role
Work schedule: M-F standard hours
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 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 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.
EEO “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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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 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 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.
EEO “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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