Job Title: Data Scientist in the life sciences space (Remote, Try/Buy Opportunity) Job Type: Contract-to-Hire (Try/Buy) Location: Remote (US-based) Salary: 150K to 180K About the Opportunity: A fast-growing consulting and technology firm specializing in data-driven solutions for the clinical research, biotechnology, and life sciences industries is seeking a skilled Data Scientist for a unique try/buy engagement. This role offers the chance to showcase your expertise in real-world, high-impact projects before converting to a permanent position. As a Data Scientist, you will work closely with cross-functional teams—including clinical experts, data engineers, and product managers—to design, build, and deploy models and analytics solutions that accelerate research, optimize clinical trials, and support data-driven decision-making in regulated environments. Key Responsibilities: • Analyze complex clinical, genomic, or biomedical datasets to identify patterns, trends, and actionable insights. • Develop and validate predictive and prescriptive models to support drug discovery, biomarker identification, patient stratification, or clinical trial optimization. • Collaborate with stakeholders to translate scientific and clinical objectives into data science approaches. • Communicate findings clearly to technical, scientific, and non-technical audiences through reports, dashboards, and presentations. • Build and automate data pipelines to process structured and unstructured healthcare and life sciences data. • Support the design and analysis of experiments, including clinical studies and A/B testing for product features. Qualifications: • Bachelor’s or Master’s degree in Data Science, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • 3+ years of experience in a data science or advanced analytics role, preferably in biotechnology, life sciences, or healthcare. • Proficiency in Python or R for data analysis and modeling. • Strong experience with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). • Solid understanding of SQL and experience working with clinical or laboratory data in relational databases. • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). • Excellent communication skills with the ability to convey complex scientific and analytical concepts. • Knowledge of regulatory considerations (e.g., HIPAA, GxP) is a plus. Nice to Have: • Familiarity with bioinformatics tools, statistical genetics, or working with omics datasets. • Experience integrating real-world data (EHRs, claims data) or electronic data capture systems used in clinical trials. • Background in natural language processing for clinical notes or unstructured medical data. • Experience with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP). What We Offer: • A unique try/buy engagement: the opportunity to demonstrate your skills during a contract phase before potential full-time hire. • Fully remote work with flexible scheduling. • The chance to contribute to cutting-edge projects that impact patient outcomes and accelerate scientific innovation. • A collaborative team environment at the intersection of data science and life sciences.