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Scientist

University of Missouri-Columbia
parental leave, paid time off
United States, Missouri, Columbia
801 Conley Avenue (Show on map)
Sep 11, 2024
Hiring Department

Life Sciences Center

Job Description

The Dr. Trupti Joshi research laboratory in the Bond Life Sciences Center at the University of Missouri is pleased to announce the opening of a Scientist position. This position is responsible for understanding, implementing and developing bioinformatics data analytics tools, computational methods and algorithms, databases, web-development, multiomics data integration strategies, modern machine learning / deep learning methods and statistics inferences algorithms and related tools.

Specific responsibilities include the following:

Build automatically workflow or pipelines for analysis of multiomics data such as bulk and single cell transcriptomics, proteomics, genomics, epigenomics, small rna etc.

Develop and implement multiomics data integration methods and data visualization tools in web-based portals.

Development of machine learning / deep learning methods for multiomics data in biomedical and plant science domains for phenotypic prediction.

Develop and maintain standalone software and web services in bioinformatics and computational biology such as SoyKB, KBCommons frameworks and G2PDeep, IRnet, IMPRes, CrossMP etc.

Develop new methods for cross-species multiomics data integration and regulatory network analysis.

Assist in grant writing, project reports and proposal development.

Manuscript drafting and publication.

Collaborative bioinformatics research and course development training.

Supervise graduate and undergraduate employees.

Shift

Monday- Friday 8 am- 5 pm

Minimum Qualifications

A Bachelor's degree in related/ relevant area and at least 3 years of experience from which comparable knowledge and skills can be acquired is necessary

Preferred Qualifications

Ph.D. degree in Bioinformatics, Computer Science or related field.

At least three-year work experience in bioinformatics research and development. In-depth capabilities in understanding, implementing and developing modern Machine learning/Deep learning and Statistics inferences algorithms and related tools. Excellence in R, Python, JAVA, SQL or MongoDB databases, and related web development in Unix/Linux environment. Working experience in analysis of high-throughput genomics, transcriptomics, proteomics and other data. Knowledge of biological databases. In-depth knowledge in Bioinformatics and Systems Biology algorithms. Experiences with workflow management systems like Pegasus, Snakemake etc., High Performance Computers (CPU), Cloud storage and GPU programming. Familiarity with use of Amazon web services (AWS) resources, Docker and Github In-depth experience of bioinformatics problem solving, tool design and development process. Proactive team player with excellent communication and presentation skills. Candidates with prior tool development experience and publications record are preferred.

Anticipated Hiring Range

Salary Range: $70,000-$90,000 annually

Grade: GGS-10

University Title: Scientist

Internal applicants can determine their University title by accessing the Talent profile tile in myHR.

Application Materials

Application, CV, Cover Letter

Other Information

Successful candidates will have exceptional organizational and time management skills. They must demonstrate the following durable skills : collaboration, communication, critical thinking, mindfulness, growth mindset, and fortitude. Additionally, confidentiality, integrity, and a commitment to the university's values.

Must be available for consistent, onsite work.

Community Information

Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages and interests. Founded on education and known as an ideal college town, its location also makes it an attractive spot for businesses and travelers. Located on Interstate 70 and U.S. Highway 63, Columbia is right in the middle of the state and the nation. Just a couple hours' drive from St. Louis and Kansas City, Columbia is Boone County's largest population center offering big-city culture, activities, and resources with a low cost of living. Columbia is home to a variety of restaurants and entertainment venues and hosts more than a dozen cultural festivals each year. If you want to grow your career, continue your education, raise a family, and retire, Columbia is a good place to be!

Benefit Eligibility

This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits.

Values Commitment

We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.

In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research, and engagement.

Equal Employment Opportunity

The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo or call the Director of Employee and Labor Relations at 573-882-2146.

To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278.

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