Bioinformatics Analyst

2 weeks ago

Cambridge, United States SPECTRAFORCE Full time

Job Title: Bioinformatics Analyst

Location: Cambridge, MA 2139 (Hybrid- 1-2 days onsite/week)

Duration: 12 Months (Possibility of Extension)

Description:

Python Models: Being experienced with pandas, NumPy, scanpy, anndata, scikit-learn. Being familiar with: pytorch or keras, scvi-tools or scarches


Immunology team is expanding its early discovery team, focusing on identifying new targets for autoimmune and chronic inflammatory diseases. We are looking for a motivated and talented individual to join us as a Computational Scientist. In this role, you will contribute to computational analyses that predict drug responses using high-throughput molecular profiling data and support the discovery of new therapeutic targets using high-throughput molecular profiling data.

Key Responsibilities:

• Build a Single-Cell Atlas: Utilize publicly available single-cell datasets to build comprehensive single-cell atlases, enhancing our understanding of cellular heterogeneity in immune system and disease contexts.

• Analyze Single-Cell Data: Assist in the analysis of single-cell RNA-seq, TCR-seq, and BCR-seq data to identify disease-associated regulatory networks and biomarkers.

• Support Multi-Omics Integration: Help integrate various omics data (e.g., gene expression, proteomics) to gain insights into disease mechanisms and identify potential drug targets.

• Develop Machine Learning Models: Contribute to the development and implementation of machine learning models for data analysis and target identification.

• Communicate Findings: Support the team in interpreting results and presenting scientific data to both internal and external stakeholders.

• Collaborate with Teams: Work with cross-functional teams to leverage computational methods in therapeutic development.

Basic Qualifications:

• Bachelor’s or Master’s degree in bioinformatics, computer science, computational biology, or a related field.

• Some experience in a relevant academic or industry setting is preferred.

• Proficiency in programming languages, particularly Python, with a solid understanding of data analysis and visualization techniques.

• Familiarity with omics data types (e.g., RNA-seq) and basic machine learning concepts.

• Strong problem-solving skills and a desire to learn.

Preferred Qualifications:

• Exposure to immunology or experience with biological data analysis.

• Familiarity with cloud computing and data management environments.

• Collaborative work style and effective communication skills

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