Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW ... changemaking for a healthier Wisconsin. In the role of a Bioinformatics Analyst II you will be working in the Mellowes Center for Genomic Sciences and Precision Medicine.

The Mellowes Center for Genomic Sciences and Precision Medicine (MC) is seeking an excellent bioinformatics analyst to strengthen the shared omics services. Genomics is key to modern biomedical research, and also revolutionizing medical practice through the expansive use of high-throughput sequencing methods. The MC has been pioneering cutting-edge genomic and epigenomic technologies with a greater emphasis on advanced analytics. Bioinformatics is the key to turning data into actionable research findings that eventually lead to improved clinical care.

The ideal candidate would be cross-trained with strong computational skills combined with in-depth biological understandings. It is desirable that the successful candidate has had significant experience with multiple if not all commonly used genomic assays, namely Whole Exome Sequencing (WES), Whole Genome Sequencing (WGS), ChIP-Seq, RRBS, ATAC-Seq, RNA-Seq, scRNA-Seq, scATAC-Seq, spatial sequencing, and Hi-C.

The analyst will also contribute to collaborative research projects for investigators within the Center. Therefore, prior experience with epigenetic studies is preferred. We use code and task management systems; the candidate is expected to operate in these systems to facilitate team communication, project tracking, and process reporting. Prior experience in managing a portfolio of work through software systems is desired. This position has primary responsibility for efficient and accurate completion of core services and research objectives of the Center. This position has secondary responsibility to contribute to the development of future bioinformatics and data science pipelines. This Bioinformatics Analyst is expected to maintain current knowledge of the literature in bioinformatics, upholding and proactively improving analysis methods of the Center that underlie a wide variety of projects and publications.

Primary Functions

1. Understands principles of NGS data, sequencing, and the interpretation of results. Independently provides troubleshooting for data generation and processing. Implements triaging and generates reports.
2. Develops, implements, and refines bioinformatic workflows and tools for analyzing and visualizing data including relevant QA/QC metrics.
3. Support and take lead on service lines that are not fully developed, as directed by the MC Director of Bioinformatics Shared Resources.
4. Leads the analysis for a portfolio of projects including implementing methods development plans. Presents regular project updates at meetings with collaborators or clients.
5. Adapts bioinformatics tools, visualization packages, and annotation resources for research projects to independently and accurately perform research analysis, such as workflow automation.
6. Maintains a professional level of knowledge of genetics and at least one focused topic related to the service lines that the candidate leads, to maintain state-of-the-art analyses and workflows.
7. Works with database and system administrators to implement and optimize methods for data input, storage, retrieval, and reporting for APIs and data portals. Understands data security permissions management.
8. Operates, troubleshoots, and improves analytic tools; notifies Supervisor when complex problems occur.
9. Partner with MCW IS to provide timely customer service support to service line clients, including data delivery and troubleshooting.

Knowledge, Skills, and Abilities

This position requires strong computational and informatics skills. Working knowledge of molecular biology, genetics, statistics, and experience using tools for NGS data processing are needed. Working experience with gene expression and epigenetic sequence analysis and algorithms is preferred. Strong UNIX/LINUX skills are essential, so are programming skills in Bash, Python, and R. Experience with Linux-based HPC clusters is highly preferred.

The successful candidate will join a productive team of researchers in running, maintaining, improving, and developing more detailed bioinformatic workflows for processing diverse NGS data types, and integration across data types. To facilitate team communication and productivity, experience in using task tracking and code subversion systems is preferred; successful candidates will be trained on their use within our group. As the MC is actively working to bring new technologies to our research programs, the successful candidate will have opportunities to improve the workflows and increase automation; the successful candidate will work closely with our wet-lab OMICS director, to translate the information gained from NGS datasets to the design and implementation of workflow improvements, process improvements, and greater interpretability of the data. The successful candidate will be organized, detail-oriented, and an effective written and verbal communicator.

Preferred Schedule:
8am-4pm or 9am-5pm

Position Requirements:

Specifications

Minimum Education:

Master's degree

Preferred Education:

PhD

Prior Experience:

2 years or Thesis/Publications with direct relevance

Preferred Field of Study:

Bioinformatics, computational biology, molecular genetics, Machine Learning/AI, or comparable field

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
• 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.

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Eastern Wisconsin is a vibrant, diverse metropolitan area. MCW is intent on attracting, developing, and retaining a diverse workforce and faculty body that reflects the community we serve. We value diversity of backgrounds, experience, thought, and perspectives to advance excellence in science and medicine. MCW is a welcoming campus community with a strong culture of collaboration, partnership, and engagement with our surrounding community.

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 a diverse 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.