What are the responsibilities and job description for the Data Scientist position at Gotham Technology Group?
As a Data Scientist you will be at the forefront of computational biology, developing machine learning models to analyze complex relationships between genomics and proteomics. Your work will directly support the design of innovative immunotherapies by predicting T-cell receptor (TCR) interactions with proteins. Collaborating closely with senior scientific leaders, you will leverage AI/ML techniques and bioinformatics tools to unlock critical insights from large-scale biological datasets.
Key Responsibilities:
- Develop, train, and optimize machine learning models for genomics and proteomics analyses.
- Collaborate with the Data Engineering team to preprocess and manage large-scale biological datasets.
- Design deep learning models to predict T-cell receptor (TCR) binding affinity to proteins.
- Apply computational biology techniques to analyze multi-omics data and generate meaningful insights.
- Keep abreast of advancements in ML/AI for bioinformatics and implement cutting-edge methodologies.
- Validate and interpret model outputs in partnership with immunologists and bioinformaticians.
- Write clean, scalable, and reproducible code for data analysis and machine learning workflows.
- Present research findings to cross-functional teams and contribute to publications and patents.
Qualifications:
- Education: Bachelor's or Master’s degree in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related field.
- Experience: At least 5 years of hands-on experience in machine learning and bioinformatics within an academic or industry setting.
- Programming: Proficiency in Python, R, TensorFlow, PyTorch, or similar ML frameworks.
- Machine Learning: Strong background in deep learning, neural networks, and unsupervised learning techniques.
- Bioinformatics: Experience with genomic, transcriptomic, or proteomic datasets.
- Cloud & Big Data: Familiarity with cloud platforms (AWS, GCP, or Azure) and distributed computing (Spark, Hadoop) is a plus.
- Domain Knowledge: Understanding of T-cell immunology, HLA-peptide binding, or protein structure prediction is highly desirable.
Salary : $120,000 - $150,000
