Bioinformatics Analyst I Exempt

Summary Our unique program focuses on how to interpret genetic variations that cause human diseases by leveraging protein structure-based simulations and calculations. We take a proteogenomic approach, developing the processes to apply computational biochemistry, computational biophysics, and more to individualize genomic data interpretation to specific clinical and research cases. The team leverages multi-disciplinary approaches, including Big Genomics Data, systems biology, computational biophysics, biochemistry, and structural protein bioinformatics, to develop a more comprehensive and integrated understanding of the underlying mechanisms of diseases. The successful candidate will join our productive team using our established computational structural genomics workflow and team-based process that we have developed. Specifically, we seek someone with experience using computational modeling tools (e.g., molecular dynamics simulations and molecular mechanics calculations) and, ideally, an understanding of genetics and molecular biology. The ability to effectively communicate within a diverse team is critical, including presenting findings, working collaboratively, generating publication-quality figures, adapting to priorities, discussing barriers to progress as they are identified, and being flexible regarding the technologies used so that we can efficiently accomplish our scientific and translational research goals. Primary Responsibilities Understands principles of biomolecular structure, molecular simulations, and the interpretation of results. Independently provides troubleshooting for data generation and processing. Maintains a working understanding of principles in genetics, biochemistry, molecular biology, and biophysics. Develops, implements, and refines bioinformatic workflows and tools for analyzing and visualizing molecular simulation data. Runs standardized workflow for annotating protein and biomolecular structures. Leads the analysis and writing for a portfolio of modeling projects, prioritized by the team and Director. Implements triaging workflow and generates reports. Contributes to collaborative research publications. Presents regular project updates at team meetings and with collaborators. Adapts bioinformatics tools, visualization packages, and annotation resources to perform research analysis independently and accurately

• flexibility and competency in data wrangling. Development of automated analysis methods to assess model quality, computed features, and analyze MD simulations. Statistical mechanics and machine learning preferred. Excellent written and verbal communication skills to present analysis to our group and externally, through research presentations and papers. Knowledge
• Skills
• Abilities This position requires strong analytical skills, working knowledge of molecular biology, biophysics, and statistics, as well as experience using tools for molecular simulation, visualization, and analysis.

The successful candidate will be highly motivated to learn and be part of our ongoing work to pioneer our lab's work to apply molecular modeling to interpret human genetic variation's effects. Working experience with structural bioinformatics tools and algorithms is required (either by command line or IDEs). Experience with Linux-based HPC systems is preferred but not required. The successful candidate will receive training on the established workflow and modeling process, with opportunities to improve and expand the workflow, especially in the automation of machine learning and statistical mechanics approaches to evaluating protein structural and Molecular Dynamics data for their cellular and biological meaning. The priority for the current position is to apply our approach to chromatin regulatory complexes. The successful candidate will be organized, detail-oriented, demonstrate an ability to critically read, understand, and interpret scientific publications, and effectively communicate verbally and in writing. Qualifications Appropriate experience may be substituted for education on an equivalent basis.

Minimum Required Education:

Bachelor's degree

• Bioinformatics, Structural Biology, Molecular Genetics, Biophysics, Molecular Biology, Machine Learning/AI, or comparable field

Minimum Required Experience:

1+ year

Preferred Education:

M.S. or

PhD Preferred Experience:

1+ year or Thesis, Dissertation, or Publications with direct relevance Physical Requirements Work requires occasionally lifting moderate weight materials, standing, or walking continuously. Work Environment Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment. Sensory Acuity Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects. #LI-AV1 Why MCW? Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options 403B Retirement Package Competitive Vacation and Paid Holidays offered Tuition Reimbursement Paid Parental Leave Employee & Family Assistance Program (EFAP) Pet Insurance On campus Fitness Facility, offering onsite classes Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc. For a brief overview of our benefits see: Benefits Overview For a full list of positions see: MCW Careers At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring

• Collaborative
• Curiosity
• Inclusive
• Integrity
• Respect.

We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website. MCW as an Equal Opportunity Employer and Commitment to

Non-Discrimination:

The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic. About Us Together, we can build a healthier world. A student, an educator, a scientist and a community leader — alone, they can do many things. Together, the question isn't what they can do, but what can't they. The Medical College of Wisconsin (MCW) brings together the most inquisitive, passionate minds in science, medicine, education and community engagement to tackle today's toughest challenges in health and society. Academic medicine is at the center of where scientists, physicians and students work hand-in-hand with the community to ask the most important questions and fuel the cycle of innovation that shapes the future of medicine. Medical College of Wisconsin The tireless pursuit of knowledge and the power of academic medicine is at the core of everything we do at MCW. Bringing together the world's top scientists and clinicians, inspired students and invested communities, we are driven to solve the most complex challenges in health and society. With around 1,600 full-time and part-time faculty and approximately 3,500 full-time employees, MCW is home to a diverse group of thought leaders working in collaboration to pioneer pathways to a healthier world and drive a continuous cycle of life-changing discovery.