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The Senior Bioinformatics Scientist, with input from senior scientists and leaders, works in collaboration with others on one or more projects which are complex in scope. The Senior Bioinformatics Scientist participates in or leads planning of projects and analyses and is often the bioinformatics lead responsible for the successful execution of the project. This position involves independently making detailed observations, analyzing data, interpreting results, and providing insights into the next steps and direction of the project, as well as independently determining methods and procedures on new assignments or projects. Working in a team setting, the Senior Bioinformatics Scientist will be involved in Research and Development projects serving as a technical lead and/or a subject matter expert in exploring and researching new technologies, providing ideas and concepts to improve or develop processes, and/or establish methods and processes for product development towards development of diagnostic assay products. The Senior Bioinformatics Scientist will mentor and provide technical guidance to junior scientists in project teams.
Job Responsibility:
Conduct analyses within several product or technology areas and identify problems and discrepancies
Independently develop, plan, and analyze results of bench level experiments within several product or technology areas
effectively present and clearly communicate findings at data meetings, group meetings and project team meetings
Analyze research/experimental data, interpret the results, and provide insights into the next steps and the direction of the project
Independently develop methods and procedures for new assignments/study/experiments
Provide technical guidance to junior scientists in project teams
Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment
Determine, utilize, and apply methods or technologies effectively and provide ideas for new techniques, when appropriate
Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures
Provide technical input and participate in decisions affecting project planning and experimental design
Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication
Contribute to the intellectual property portfolio by implementing innovative and creative ideas to solve problems or improve on current methods
Generate, document, and communicate development plans for critical aspects of a project
Develop research plans and experimental outlines to write experimental protocols and perform laboratory experiments
Prepare detailed technical procedures, protocols, and reports
Evaluate impact of nonconforming data to product or process
Identify and address trends in study data
Prepare and approve written reports
Lead identification of areas for process improvements
Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements
Prepare reports and documentation providing highly technical analysis or summarization of experimental results, outcomes, next steps, and the future direction of the project to functional leader, technical teams/groups, or project teams
Present experimental results and defend scientific ideas and findings at data meetings, group meetings, project team meetings and/or departmental meetings, lead meetings as subject matter expert
Demonstrate technical proficiency, scientific creativity and rigor, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas
Work on problems of extremely complex scope in which analysis of data requires an evaluation of intangible variables
Exercise independent judgment in developing methods, techniques, and evaluation criteria for obtaining solutions
Work on assignments individually and with project team members as appropriate to meet department and project objectives
Work within project timeframes with successful outcomes on multiple projects and key responsibilities
Act as bioinformatics leader for one or more projects that are complex in scope
Act as subject matter expert in core team and/or cross-functional meetings
Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results
analyzing data and presenting findings in a professional and knowledgeable manner
Promote an open, collaborative environment built on trust to foster positive teamwork
Plan and recommend activities that account for prioritization of organizational and department goals
Train, guide and mentor research associates and junior level scientists
Organize, present, and convey complex problems or issues
Communicate clearly and frequently with all levels of the organization
including team members, project team members (core and extended), functional managers, clinical lab, and other stakeholders
Create high quality presentations that effectively communicate and tie into a cohesive story, the project status, and/or experimental results
Apply strength in performing complex analyses and the ability to present data and recommendations to a variety of audiences throughout an organization
Apply qualitative and analytical skills with strong attention to detail
Ability to effectively work on several varied projects at one time, with frequent changing priorities
Demonstrate excellent analytical, problem solving and decision-making skills
Apply sound technical knowledge and ability gained through experience and/or learning
Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action)
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork
Support and comply with the company’s Quality Management System policies and procedures
Maintain regular and reliable attendance
Ability to act with an inclusion mindset and model these behaviors for the organization
Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day
Ability to work on a computer and phone simultaneously
Ability to travel 5% of working time away from work location, may include overnight/weekend travel
Requirements:
Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field
or Master’s degree in same fields plus 4 years of experience in lieu of a Ph.D.
or Bachelor’s degree in same fields plus 6 years of experience in lieu of Ph.D.
5+ years of industry or academia experience in bioinformatics
3+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry
Extensive experience in Linux-based HPC or cloud computing environments and associated tools
Ability to write custom code in at least three programming or scripting languages
Technical expert in the area of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics
Knowledge of product/assay research, design, or development
Working knowledge of statistical and mathematical methods in biology/genetics, including experience with statistical software, such as JMP or R
Basic computer skills to include Internet navigation, Email usage, and word processing
Proficient in Microsoft Office to include Excel and Word and PowerPoint
Demonstrated ability to perform the essential duties of the position with or without accommodation
Applicants must be currently authorized to work in country where work will be performed on a full time or part-time basis
Nice to have:
8+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry
Previous industry experience in product development or technical support
Background containing a substantial amount of bioinformatics work including troubleshooting
Previous experience working in a molecular diagnostics/clinical laboratory setting
Variant calling (SNV/CNV/SV) experience in algorithm development/building pipelines
Experience with NextFlow to create NGS pipelines
Experience with AWS or other similar cloud platforms
Experience with whole exome/targeted panel
Experience with comprehensive genomic profiling panel design and data analysis
Machine learning and AI
What we offer:
Paid time off (including days for vacation, holidays, volunteering, and personal time)
Paid leave for parents and caregivers
A retirement savings plan
Wellness support
Health benefits including medical, prescription drug, dental, and vision coverage