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Position Overview

The Bioinformatics Scientist II, with limited guidance from more experienced scientists, works individually and in collaboration with wet lab scientists on multiple projects which are moderate to complex in scope. The Bioinformatics Scientist II plays an active role or leads in the 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 of the project.

Working in a team setting, the Bioinformatics Scientist II will be involved in Research projects serving as a bioinformatics lead or a subject matter expert in in evaluating research ideas and concepts in their feasibility towards development of diagnostic assay products. Experience in methylation and RNA Seq preferred.

Essential Duties

Include, but are not limited to, the following:

• Conduct analyses within several product or technology areas and identify problems and discrepancies.
• Independently plan and analyze results of bench level experiments within several product or technology areas.
• Analyze research/experimental data, interpret the results, and provide insights into the next steps.
• Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment.
• 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.
• 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 the analysis or summarization of results, outcomes and next steps to supervisor, 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 and knowledge, scientific creativity, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas.
• Work on problems of diverse and complex in scope in which analysis of data requires in-depth evaluation of identifiable factors.
• Exercise judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining solutions.
• Work on individual assignments 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 moderate to 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.
• Assist in planning and recommendation of activities that account for prioritization of organizational and department goals.
• Ability to train and mentor research associates.
• Ability to organize, present, and convey moderate 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.

Minimum Qualifications

• PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD.
• 3+ years of industry or academia experience in bioinformatics.
• 2+ 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
• Proficient in the principles of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics
• Familiarity with 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, Word, and PowerPoint.
• Demonstrated ability to perform the essential duties of the position with or without accommodation.
• Authorization to work in the United States without sponsorship.

Preferred Qualifications

• 5+ 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.
• Demonstrable ability to apply statistical approaches to analyze data, interpret and present results Excellent analytical and programming skills (strong experience in shell scripting, R and Python)
• Ability to produce reproducible code (R Markdown, Jupyter notebooks, etc.)
• Excellent communication and presentation skills, ability to work across functional teams and with non-experts.
• Experience in selecting and benchmarking methods and tools and designing new quality metrics and processes for NGS-based assays.
• Ability to apply and develop innovative analysis approaches when standard methods are inadequate.
• Fluency in contemporary data visualization methods.

Salary Range:

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our .

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, email We'll work with you to meet your accessibility needs.

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We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company's affirmative action program.

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