Data Scientist (Bioinformatics)

TRUE JOB TITLE: Scientific Application Specialist, Digital & AI LOCATION: 300 North Beacon, Suite 501 Watertown, MA SCHEDULE: Onsite 5 days, M-F DURATION: 6 months TOP SKILLS per MANAGER: 1. Experience in Laboratory Informatics 1. Experience in Data Analysis and Management 1. Technical knowledge of Digital Solutions TRUE JOB TITLE: Scientific Application Specialist Digital & AI ESSENTIAL FUNCTIONS 1. Develop and Implement Digital Innovation Solutions - Collaborate with researchers, laboratory staff, and the Digital Science team to understand their informatics needs and challenges - Identify, evaluate, and implement laboratory informatics solutions to access and visualize human data including public and proprietary data 1. Streamline Data Management: - Work on projects that enhance data accessibility, integrity, and usability while maintaining FAIR principles. - Ensure that data management practices are efficient and aligned with the latest digital technologies. 1. Collaborate with Digital & AI Team: - Partner with the Digital & AI team to identify and deploy new digital solutions. - Ensure that these solutions are effectively integrated into the research workflows for biology and pharmacology studies. 1. Training and Support: - Train scientists on the available digital solutions and provide ongoing support to ensure they are effectively utilized. - Develop training materials and conduct workshops as needed. 1. Propose New Solutions: - Continuously evaluate the current digital tools and propose new solutions that can further enhance the research capabilities of the team. - Stay updated with the latest advancements in digital technologies and their applications in scientific research. 1. Project Management: - Manage digital solution projects from conception to deployment, ensuring timely delivery and alignment with research goals. QUALIFICATIONS: Bachelor's Degree in in Bioinformatics, Computational Biology, or a related field from an accredited university or equivalent education with 2+ years of experience required. OR Master’s degree in bioinformatics, Computational Biology, or a related field from an accredited university or equivalent education with 1+ years of experience General qualifications: • Proven experience in Laboratory Informatics, preferably in a pharmaceutical research setting. • Proficiency in programming languages such as Python, R, or Java. • Experience with database management systems and data analysis tools as well as laboratory information management systems (LIMS). • Technical knowledge to configure / administer / maintain (vendor or home-built) digital solutions. • Knowledge of regulatory requirements and data privacy standards in research. • Excellent communication and interpersonal skills. • Ability to work independently and as part of a multidisciplinary team. • Strong problem-solving skills and attention to detail