What are the responsibilities and job description for the Senior Bioinformatics Scientist position at Planet Pharma?
Responsibilities:
We are looking for a contractor with extensive experience in computational biology to fill a Senior Scientist role on our Companion Diagnostics team.
• If you have a strong foundation in analyzing transcriptomics and genetics data, along with a deep understanding of statistics and AI/ML, we'd love to hear from you. Your work will be instrumental in driving precision medicine and drug development by dissecting the molecular mechanisms underlying immune-mediated diseases.
• We welcome applications from individuals with a track record of innovative translational research, regardless of their current setting (clinical, academic, or industrial).
Responsibilities
• Use computational and statistical methods to stratify patients and develop Companion Diagnostic algorithms.
• Conduct in-depth analyses to uncover the key biological functions and disease mechanisms driving disease subtypes.
• Contribute to accurately represent key disease states in model systems and other validation scenarios.
• Work closely with discovery immunology teams in the iterative process of validation of therapeutic candidates and/or mechanistic hypotheses.
• Summarize your findings and report conclusions to stakeholders.
Education:
• Minimum qualification: Master’s degree with 4 years of experience in computational biology, bioinformatics or related fields.
• Advance degree- PhD in computational biology, bioinformatics, or related fields.
Required experience and skills:
• Experience in biotech or pharmaceutical industries is a plus.
• Advanced skills in a high-level programming language such as R or Python for data analysis and visualization.
• Expertise in downstream analysis for common NGS data types, such as WGS/WES/panel-seq, bulk RNA-seq. Expertise with single-cell RNAseq and spatial transcriptomics is a plus.
• Basic understanding of disease biology and molecular/cellular mechanisms in immunology.
• Expertise in contemporary machine-learning/AI methods is a plus.
Pay Range: $75-89/hr
Salary : $75 - $89
