Sr. Bioinformatics Scientist

Qualifications:
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, single-cell RNAseq and spatial transcriptomics (experience in building NGS pipelines is not required but is a plus).
• Basic understanding of disease biology and molecular/cellular mechanisms in immunology.
• Expertise in network and systems biology is required.
• Expertise in contemporary machine-learning/AI methods is a plus.

Personality:
• Problem-solving and collaboration skills, with rigorous and creative thinking.
• Excellent communication, data interpretation presentation, and visualization skills.
• Fluent in written and verbal English.
• Adaptable and flexible.

Are you a computational biologist with a passion for unraveling the complexities of the immune system?
• If you have a strong foundation in bioinformatics, 'omics analysis, network biology, and systems biology, along with a deep understanding of molecular and cellular immunology, 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 in immunology, regardless of their current setting (clinical, academic, or industrial).

Note:
• 100% onsite role.
• Remote working candidates will not be considered.
• Positions available: 2

Responsibilities:
We are looking for a contractor with extensive experience in computational biology and join our immunology analytics team in Translational Genome Analytics, San Diego.

• Use computational methods to identify molecular subtypes with unmet need in immune mediated diseases.
• Conduct in-depth analyses to uncover the key biological functions and disease mechanisms driving disease subtypes.
• Collaborate with multi-disciplinary teams to pinpoint potential therapeutic targets.
• 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 Merck stakeholders.