Bioinformatics ML Scientist
Top 3 – 5 Skills Needed: 1. Implementing, training AI/ML models 2. Data pre-processing for AI compatibility 3. Domain knowledge of bioinformatics 4. Experience working with genomic data 5. Ability to communicate results clearly Job Description: The successful candidate will work closely with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to develop predictive AI/ML models using large-scale transcriptomic and imaging datasets to elucidate drug mechanism of action (MOA). Key responsibilities can include ingesting public data, performing data clean-up to ensure model compatibility, integrating external and internal datasets, and optimizing multi-model models. This role offers the opportunity to make a direct impact on drug development by delivering innovative data science solutions across cross-functional projects. Key Responsibilities: • Support senior analysts in implementing, training, and troubleshooting AI models. • Ingest, clean, and preprocess large-scale transcriptomic and imaging datasets for AI workflows. • Collaborate with scientific and technical teams to translate biological questions into computational solutions. • Document processes and outcomes ensuring reproducibility and transparency. • Assist in interpreting model outputs to advance the understanding of drug MOA. • Work with agility on time-bound projects with critical deliverables. Qualifications: • MS degree (5+ years of experience) or PhD (0 years of experience) in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics, AI/ Machine Learning Engineer or other field with a strong quantitative and computational background)Proficiency in Python and standard ML libraries • Proficiency working on HPC or cloud environments. • Domain knowledge in bioinformatics/computational biology • Strong attention to detail, documentation, and communication skills • Ability to independently execute and troubleshoot research plan Preferred technical skills: • Experience with NumPy, Pandas, Scikit-learn, Matplotlib, and seaborn. • Experience with TensorFlow, and/or PyTorch • Experience with git for version control and collaboration Additional technical skills: • Experience with OpenCV, Scikit-image, and computer vision deep learning models • Experience with multi-modal models About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Remote About the Company: US Tech Solutions, Inc. Apply tot his job