Sunrise Systems, Inc.
Scientist (Computational Biology)
Sunrise Systems, Inc., San Diego, California, United States, 92189
Overview
Recruitment Professional | Pharma, Scientific, IT, Non-IT & Engineering | End-to-End Recruitment | Candidate Engagement Scientist (Computational Biology)
at
San Diego, CA, Onsite
with one of our top
Pharma
Client Job Title:
Scientist (Computational Biology) Duration:
6 months (Possibility of extension) Position Type:
Hourly contract Position (W2 only) Pay Rate:
89/Hr - $91/Hr Job Description
100% onsite role 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. 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+ years 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. Compensation
Compensation:
Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Sunrise offers ACA compliant medical coverage/dental insurance/vision insurance to all employees. We also offer Sick time benefits as required per State regulations. Thanks & Regards
Pavithra R | Sunrise Systems Inc pavithra.r@sunrisesys.com Seniority level
Associate Employment type
Contract Job function
Research Industries
Pharmaceutical Manufacturing and Biotechnology Research
#J-18808-Ljbffr
Recruitment Professional | Pharma, Scientific, IT, Non-IT & Engineering | End-to-End Recruitment | Candidate Engagement Scientist (Computational Biology)
at
San Diego, CA, Onsite
with one of our top
Pharma
Client Job Title:
Scientist (Computational Biology) Duration:
6 months (Possibility of extension) Position Type:
Hourly contract Position (W2 only) Pay Rate:
89/Hr - $91/Hr Job Description
100% onsite role 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. 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+ years 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. Compensation
Compensation:
Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Sunrise offers ACA compliant medical coverage/dental insurance/vision insurance to all employees. We also offer Sick time benefits as required per State regulations. Thanks & Regards
Pavithra R | Sunrise Systems Inc pavithra.r@sunrisesys.com Seniority level
Associate Employment type
Contract Job function
Research Industries
Pharmaceutical Manufacturing and Biotechnology Research
#J-18808-Ljbffr