Data Scientist I

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Clinical Outcomes Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.

📋 Description

• Work closely with client's Quantitative Sciences (QS) staff to support program needs in a timely manner. • Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation. • Strengthen client’s advanced analytics toolkit by identifying and applying emerging techniques, as well as by advancing the state of the art and developing novel analysis tools as needed. • Collaboration with QS staff and their cross-functional collaborators to understand disease biology and to identify or develop appropriate goals for data science work (for example identifying sensitive and specific endpoints for segmenting patient population, tracking disease progression, quantifying quality of life, etc.) • Work closely with client's statisticians to ensure statistical issues in data analysis are addressed as needed. • Anticipate and communicate internal and external resource and quality issues that may impact deliverables or timelines of the program. Propose and implement solutions. Escalate issues to management as appropriate in a timely manner.

🎯 Requirements

• Education in a relevant field, for example a) PhD in a field such as Neuroscience, Biostatistics, Physics, Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics with 1-3 years of experience and a clear interest in data science methods, or b) Master’s degree with 3-6 years of relevant experience. • Expert-level knowledge of data science programming languages (Python and R, or similar) and experience with recommended practices for software development. • Significant depth of expertise in at least one field relevant to the job (for example, machine learning, signal processing, etc.). • Ability to work independently on complicated datasets, including all aspects of data analysis (data cleaning, algorithm development, statistical analysis, and documentation). • Strongly prefer a working knowledge of UNIX operating systems, ideally with experience in high-performance computing environments.

🏖️ Benefits

• Our commitment to developing our staff is only surpassed by our commitment to advancing treatment options available to patients. • Consistent training, development and support. • Excellent oral and written communications skills. • Strong project management skills. • Willingness and ability to self-educate in new areas. • Strong collaborative skills and ability to work with a cross-functional team.