Bioinformatics Scientist - III (Senior)

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: 1

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.