Research Scientist - Department of Obstetrics & Gynecology Wayne State University is searching for an experiencedResearch Scientist - Department of Obstetrics & Gynecologyat its Detroit campus location. Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society. Essential functions (job duties): Job Purpose: Under the direction of the Principal Investigator, provide scientific and technical assistance to complete laboratory based, clinical or population science research. May assist in writing research protocols and in manuscript preparation. Design and perform research protocols independently or as directed through training in more difficult or specialized procedures to meet the needs of the research protocol. Essential Functions: With the assistance of the Principal Investigator, find and write research grants with the goal of obtaining additional research grant funding. Responsibilities may also include coordinating correspondence with applicants and grantees, acknowledging receipts of proposals, and maintaining a system to track proposals. Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments/ research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy. Prepare and present presentations regarding research project results for professional, scientific and academic conferences. Summarize and organize data results for submittal to academic and scholarly, peer-reviewed journals. Write scientific manuscripts and other documents for publication. Fact-check, proofread, and edit research documents to ensure accuracy. Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station. Perform other related duties as assigned. Unique duties: We are seeking a Bioinformatics Scientist to support cutting-edge research projects in the area of Reproductive Sciences by applying advanced computational techniques to analyze and interpret large-scale biological data. The position will work closely with Principal investigators in a Research Center to design and perform data analysis strategies, analyze genomic, transcriptomic, and other high-throughput data, and provide actionable insights to drive research forward. With the assistance of the Principal Investigators, find and write research grants with the goal of obtaining research grant funding. Analyze high-throughput biological data, such as DNA sequencing, RNA sequencing, or proteomics datasets. Apply statistical methods to identify patterns, associations, and variations within biological datasets. Translate raw biological data into biological meaning by identifying gene functions, pathways, or mutations related to diseases. Create, maintain, and query large biological databases (e.g., GenBank, protein databases, or custom repositories). Integrate data from multiple sources, ensuring compatibility, accessibility, and accurate annotation. Use computational models to explore system dynamics or predict biological responses under varying conditions. Create clear and insightful visualizations to represent complex biological data, aiding interpretation and communication with non-computational scientists. Write research papers, technical reports, and provide presentations that bridge the gap between data science and biology. Generate and/or validate hypotheses by leveraging computational modeling and statistical testing. Educate researchers, students, or laboratory staff on bioinformatics tools, databases, or computational analysis techniques. Qualifications: Education: Doctorate degree Requires advanced knowledge predominantly intellectual in character in a field of science or learning acquired by a prolonged course of specialized intellectual instruction. Experience: Experienced (minimum 2 years of job-related experience) Experience performing basic research techniques, preferred. Must have distinguished themselves in research. Knowledge, Skills and Abilities: Ability to work independently. Ability to secure grants and funding for research. Ability to analyze, summarize and interpret research findings in reports and communicate results. Knowledge of scientific integrity principles. Excellent time management and organization skills. Excellent interpersonal skills and demonstrated ability to work with others in a collaborative environment. Microsoft office software skills. Preferred qualifications: PhD in Bioinformatics, Computational Biology, Genomics, or related field. Expertise in bioinformatics with strong programming skills and a track record of solving complex biological problems using data-driven approaches. Experience in generating testable hypotheses from large omics datasets. Experience leading scientific research projects and mentoring junior researchers. Prior experience in an academic or research environment is highly preferred. Strong programming skills in languages such as Python, R, and/or Bash. Experience with bioinformatics tools and frameworks for high-throughput data analysis (e.g., DESeq2, EdgeR). Familiarity with next-generation sequencing (NGS) data, including sequence alignment, variant calling, and differential expression analysis. Proficiency in statistical analysis and experience with data visualization techniques. Solid understanding of bioinformatics algorithms and data structures. Knowledge of biological processes and familiarity with biological databases (e.g., Ensembl, UCSC Genome Browser, TCGA), and pathway/network analysis tools. Strong analytical and problem-solving skills. Excellent communication skills and the ability to work collaboratively in an interdisciplinary team environment. Detail-oriented with the ability to understand complex interactions and summarize concepts for both technical and non-technical collaborators. Strong scientific background, including an understanding of molecular biology, cell biology, reproductive biology, and genomics resources is preferred. Expertise in generating testable hypotheses from large omics datasets. Experience with single-cell analysis tools (e.g., Seurat, Scanpy, Slingshot, Monocle) for trajectory inference and cell cycle regression. Ability to adopt and adapt cutting-edge single-cell omics approaches for answering fundamental science research questions. Demonstrated ability to secure funding through grants, fellowships, or institutional support to advance research objectives. School/College/Division: H06 - School of Medicine Primary department: H0610 - Department of Obstetrics & Gynecology Employment type: + Regular Employee + Job type: Full Time + Job category: Research Funding/salary information: + Compensation type: Annual Salary + Hourly rate: + Salary minimum: TBD + Salary hire maximum: TBD Working conditions: Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences. Job openings: + Number of openings: 1 + Reposted position: No + Reposted reason: None (New Requisition) + Prior posting/requisition number: Background check requirements: University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required. Equal employment opportunity statement: Wayne State University provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. The university encourages applications from women, people of color and other underrepresented people. Wayne State is an affirmative action/equal opportunity employer.