Python/Git Bioinformatics Consultant (REMOTE)(No C2C/H1B)
Posted Today by 1758182207
Negotiable
Outside
Remote
USA
Summary: The role of a Bioinformatics Analyst involves analyzing large genomic datasets to support drug discovery programs, particularly in Cell Therapy therapeutics. The position requires proficiency in Python and a solid understanding of NGS technologies, along with excellent communication skills to facilitate collaboration across teams. This is a 1-year contract position that emphasizes the importance of quality control and statistical analysis in the drug discovery process. Candidates should have experience in a biotech or pharmaceutical setting and be adept at translating complex biological questions into computational analyses.
Key Responsibilities:
- Perform quality control on sequencing and alignment data to ensure accuracy and precision.
- Analyze large genomics datasets to extract meaningful insights related to drug discovery.
- Build, maintain, and optimize bioinformatics pipelines for scalability and reproducibility.
- Support diverse drug programs through computational and statistical analyses.
- Develop and refine statistical models and hypothesis tests to interpret complex datasets.
- Clearly communicate study designs, methodologies, and key findings to interdisciplinary teams, including wet-lab scientists and project stakeholders.
- Contribute to presentations and reports highlighting methods and outcomes.
Key Skills:
- Excellent communication skills
- Proficiency in Python
- Solid understanding of NGS technologies and biological assays
- Experience supporting drug discovery programs in a biotech or pharmaceutical setting.
- Prior experience presenting complex computational results to diverse audiences.
- Familiarity with cloud computing environments (e.g., AWS) for large-scale data analysis.
- Experience with Git for version control and reproducibility.
- Strong collaboration skills, especially in advising on study design and avoiding pitfalls in collaboration with wet-lab scientists, engineers, and protein designers.
- Excellent communication skills, capable of translating biological questions into rigorous computational analyses.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
(No C2C/H1B)
Please note that this is a 1-year contract position.
Top Three Skills:
- Excellent communication skills
- Proficiency in Python
- Solid understanding of NGS technologies and biological assays
Qualifications
- Experience supporting drug discovery programs in a biotech or pharmaceutical setting.
- Prior experience presenting complex computational results to diverse audiences.
- Proficiency in Python, with experience applying software development best practices.
- Familiarity with cloud computing environments (e.g., AWS) for large-scale data analysis.
- Experience with Git for version control and reproducibility.
- Solid understanding of NGS technologies and biological assays.
- Strong collaboration skills, especially in advising on study design and avoiding pitfalls in collaboration with wet-lab scientists, engineers, and protein designers.
- Excellent communication skills, capable of translating biological questions into rigorous computational analyses.
Description:
- As a Bioinformatics Analyst, you will play a critical role in analyzing large genomic and novel NGS assay datasets to support drug discovery programs, with a focus on Cell Therapy therapeutics.
- Your primary responsibilities include executing, applying, and analyzing sequencing and assay data to identify potential therapeutic candidates.
- You will prepare data packages and summaries that facilitate cross-team communication and decision-making, while building, maintaining, and optimizing computational pipelines to ensure scalability, reproducibility, and efficiency.
About You
- You have a strong background in statistics and software development, with proficiency in Python and experience working with both open-source and custom packages.
- You follow best practices in code development and enjoy collaborating with a diverse range of engineers and scientists.
- You are skilled at guiding study design and data interpretation, and capable of translating complex biological questions into quantifiable hypotheses and analyses.
- You thrive in multidisciplinary teams supporting drug discovery efforts.
Key Responsibilities
- Perform quality control on sequencing and alignment data to ensure accuracy and precision.
- Analyze large genomics datasets to extract meaningful insights related to drug discovery.
- Build, maintain, and optimize bioinformatics pipelines for scalability and reproducibility.
- Support diverse drug programs through computational and statistical analyses.
- Develop and refine statistical models and hypothesis tests to interpret complex datasets.
- Clearly communicate study designs, methodologies, and key findings to interdisciplinary teams, including wet-lab scientists and project stakeholders.
- Contribute to presentations and reports highlighting methods and outcomes.
Applicants must provide their phone number. Reference job number A5007