Senior Bioinformatics Scientist - Intelliswift Software : Job Details

Senior Bioinformatics Scientist

Intelliswift Software

Job Location : San Diego,CA, USA

Posted on : 2025-01-06T03:22:44Z

Job Description :

Job Title: Bioinformatic Scientist

Duration: 12 Months Contract on w2

Location: San Diego, CA

Education:

• Minimum qualification: Master's degree with 4+ years of experience in computational biology, bioinformatics, or related fields.

• Advanced 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.

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.

Note:

• 100% onsite role.

• Remote working candidates will not be considered.

• Positions available: 2

Responsibilities:

e are looking for a contractor with extensive experience in computational biology to fill a Senior Scientist role on our Companion Diagnostics team in Client, San Diego.

• 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 Client stakeholders.

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