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Louisiana State University

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

LSU AgCenter

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

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How much do computational data science jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for computational data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is computational data science?

Computational Data Science is an interdisciplinary field that combines computer science, statistics, and domain knowledge to extract insights and knowledge from complex data sets using computational techniques. Professionals in this field use algorithms, machine learning, and advanced analytics to solve real-world problems by processing and interpreting large volumes of data. The work often involves programming, data modeling, and visualization, making it crucial in industries such as healthcare, finance, and technology. Computational Data Scientists help organizations make data-driven decisions and innovate through predictive modeling and data analysis.

What are the key skills and qualifications needed to thrive as a computational data scientist?

To thrive as a Computational Data Scientist, you need a strong background in mathematics, statistics, programming (especially Python or R), and data analysis, often supported by a relevant degree in computer science, statistics, or a related field. Proficiency with data manipulation tools (like Pandas, NumPy), machine learning frameworks (such as TensorFlow or Scikit-learn), and cloud computing platforms is highly valued, along with experience using data visualization tools. Critical thinking, problem-solving, communication, and collaboration skills make someone stand out in this role. These abilities are crucial for extracting actionable insights from complex data, building effective models, and communicating findings to drive informed business decisions.

What are some common challenges faced by computational data scientists when working on cross-functional teams?

Computational data scientists often collaborate closely with professionals from diverse backgrounds, such as software engineers, domain experts, and business stakeholders. One common challenge is translating complex technical findings into actionable insights for non-technical team members. Additionally, aligning project goals and expectations across disciplines can require extra communication and flexibility. Overcoming these challenges often involves developing strong interpersonal skills, proactively clarifying requirements, and fostering a collaborative team culture.

What is the difference between Computational Data Science vs Data Analyst?

AspectComputational Data ScienceData Analyst
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; often includes programming certificationsUsually requires a degree in Statistics, Business, or related fields; may include basic data analysis certifications
Work EnvironmentInvolves programming, modeling, and developing algorithms; often in tech or research settingsFocuses on interpreting data, creating reports, and supporting decision-making; in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries requiring advanced modelingCommon in finance, marketing, healthcare, and business sectors

Computational Data Science involves advanced programming, algorithm development, and modeling, often in technical environments. Data Analysts focus on interpreting data, generating reports, and supporting business decisions. While both roles work with data, Computational Data Scientists typically require stronger programming skills and work on building models, whereas Data Analysts focus on data interpretation and visualization.

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Computational Data Science jobs near you
Infographic showing various Computational Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Assistant/Associate Professor (Computational Biology/Data Science)

Louisiana State University
See more jobs at Louisiana State Universityexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Assistant/Associate Professor (Computational Biology/Data Science)Position Type:FacultyDepartment:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100))Work Location:A0414 Life Sciences AnnexPay Grade:AcademicJob Description:

Work Location: LSU Campus, Baton Rouge, Louisiana

Position Description: This is a full-time 12-month, tenure-track position with 80% research and 20% teaching appointment focused on computational biology/data science in the Department of Plant Pathology and Crop Physiology. This hire comes at a time when LSU AgCenter and LSU A&M are focusing on strengthening research in data science and precision agriculture and there are many opportunities for collaboration across the university, including the College of Agriculture, College of Science, and the LSU AgCenter's research stations. The position is open to all areas of biology, but the successful candidate is expected to build a research program around hypothesis-driven research that leverages data science to address problems at the intersection of plant pathology and large-scale data analysis. Desirable candidates are those who can actively develop cutting-edge data science methods in informatics, data mining, machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad and include evolutionary biology of plant-pathogen interactions, epidemiology, ecology, statistical modeling, computational biology, genomics, structural biology, experimental design, quantitative genetics, or high-throughput phenotyping. The appointee will teach one undergraduate/introductory course in computational biology/data science each year, develop one advanced graduate-level course in an area of expertise to be taught every other year, and serve as a major advisor and on advisory committees for Ph.D. and M.S. students. Obtaining extramural funding from federal and state agencies, commodity (state and national) research boards, and agro-industries to support the research program will be expected.

Qualification Requirements: A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral experience (ABD candidates will be considered). Candidates with a strong proficiency in computer programming and big data management are preferred.

Salary and Benefits: Salary will be commensurate with qualifications and experience. The LSU AgCenter has an attractive benefits package with a wide variety of benefit options. Benefits offered include retirement, multiple medical insurance options, supplemental insurances (dental, life, long-term disability, accident, vision, long-term care, etc.), Tax Saver Flexible Benefits Plan (saves tax dollars on some child care and medical expenses), university holidays (14 per year, typically includes a week off at Christmas), generous annual (vacation) and sick leave benefits, Employee Assistance Program, and possible educational leave and tuition exemption for coursework at campuses of the LSU System. Specific benefits depend on job category, percent effort and length of employment.

Date Available: Upon completion of the interview process.

Application Deadline:March 11, 2025or until a suitable candidate is identified.

Application Procedure: Apply online at https://lsu.wd1.myworkdayjobs.com/LSU (or in Workday for internal applicants) by attaching a cover letter, current curriculum vitae, research statement, teaching statement, contact information for 3-5 references, and university transcripts. Please attach application as a single portable document format (PDF). Paper, faxed or e-mailed application materials will not be accepted. Reference letters will be requested at a later date. Questions can be directed to the chair of the search committee:

Dr. Vinson Doyle

Associate Professor

Plant Pathology and Crop Physiology

Phone: 225-578-4052

Email: vdoyle@agcenter.lsu.edu

Website: www.lsuagcenter.com

The LSU Agricultural Center is a statewide campus of the LSU System and provides equal opportunities in programs and employment. An Equal Opportunity Employer.

Additional Job Description:Competencies:NoneSpecial Instructions:Assistant/Associate Professor (Computational Biology/Data Science)Posting Date:February 25, 2025Closing Date (Open Until Filled if No Date Specified):Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - The LSU AgCenter has an attractive benefits package with a wide variety of benefit options. Benefits offered include retirement, multiple medical insurance options, supplemental insurances (dental, life, long-term disability, accident, vision, long-term care, etc.), Tax Saver Flexible Benefits Plan (saves tax dollars on some childcare and medical expenses), university holidays (14 per year), generous annual (vacation) and sick leave benefits, Employee Assistance Program, and possible educational leave and tuition exemption for coursework at campuses of the LSU System. Specific benefits depend on job category, percent effort and length of employment.

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):
About the LSU Agricultural Center:

The LSU AgCenter, is one of eight campuses within the broader LSU enterprise (LSU System). The LSU AgCenter includes the Louisiana Agricultural Experiment Station, which conducts agricultural-based research, and the Louisiana Cooperative Extension Service, which extends the knowledge derived from research to the people of the state. The AgCenter is headquartered in Baton Rouge and has 12 "on campus" academic departments and five regions which are made up of 15 branch research stations and an extension office in each parish. For more information, visit the AgCenter's website at www.lsuagcenter.com.

The LSU Agricultural Center is an Equal Opportunity Employer and SAME Agency:

The LSUAgriculturalCenteris a statewide campus of the LSU System and provides equal opportunities in programs and employment. TheAgCenter is committed to fostering an environment of inclusion, respect, and appreciation of differences in individuals. TheAgCenter is also designated as aState As a Model Employer (SAME)agency and provides assistance to persons needing accommodations or with the accessibility of materials.

HCM Contact Information:

Questions or concerns can be directed to the LSU AgCenter Human Resources Management Office at 225-578-2258 or emailed HRMHelp@agcenter.lsu.edu.

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