Duties: Build product definition and leverage your technical skills to drive towards the right solution; Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives; Solve difficult problems, learn recent technologies, and push the boundaries of what is possible; Work independently and in a team environment; Scope, design, and build scalable, resilient distributed systems; Engage in cross-functional collaboration throughout the entire software lifecycle; Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
Requirements: Bachelor's degree in computer science, Information Systems, or equivalent education or work experience; Experience with end-to-end Machine Learning Engineering lifecycle; Experience with Cloud Platforms such as Azure, AWS, or Google Cloud; Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML; Experience with Big Data platforms such as Databricks or Apache Spark

Duties: Assess, propose, and develop toolsets and techniques for detection and mitigation of bias in data and ML models; use these tools in testing and validating models; Assess, challenge, and at times defend state-of-the-art decision-making systems to internal partners; Monitors deployed models, test performance against monitoring standards, identify impact of drifts; Partner cross-functionally with data scientists, business analysts, software engineers, and product managers to identify and mitigate risks inherent in machine learning models
Requirements: A Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field and at least 4 years of relevant work experience or a PhD in these fields and at least 2 years of relevant work experience; 4+ years’ experience with and solid proficiency in machine learning techniques and predictive modeling

Duties: Provide instruction in Biology/Zoology courses and related advanced level electives with a strong commitment to curriculum transformation and excellence in teaching; Establish a productive, student-centered, undergraduate research program in the area of biology, zoology, with an emphasis on research tools development. Incorporate experiential learning activities into research program; Active participant in scholarly activities, advisement, and mentorship of students, with active service on committees
Requirements: Ph.D. in Zoology, Ecology, Biology or related field(s) required; Strong research profile in Biology, with a focus on Zoology or Ecology and related fields

Duties: Actuaries are essential to GEICO’s continued success as one of the nation’s leading auto insurers. Their duties consist of determining rates for our various insurance products, analyzing and projecting drivers of loss trends, developing and enhancing new insurance products, examining and setting loss reserves, working with data infrastructure, and much more! Our actuaries are motivated, self-driven, and excellent analytical thinkers. GEICO’s actuaries do more than crunch numbers; they are active in determining business strategies, educating management on our profitability and projections, and communicating across departments to ensure company success. Actuaries are key members of GEICO’s management team, as a wide range of critical decisions are based on their projections and professional opinions
Requirements: A bachelor’s degree in mathematics, economics, actuarial science, statistics, or a related field; A cumulative GPA of at least 3.0 or demonstrated professional achievements in an analytical, quantitative, or related field; Proven quantitative, analytical, and problem-solving abilities

Duties: The Full Professor position requires a substantial record of scholarship that includes high impact refereed publications, research, teaching, and related service; The Candidate must have a doctorate in social work or a related field and a master’s degree in social work; Graduate teaching and dissertation guidance are required; A demonstrated commitment to social work practice in urban environments as demonstrated through extramural research, teaching, and service are required; Practice and research in the areas of Urban Violence and Crime, Gerontology, Public Health, and Behavioral Health highly considered. Online instruction is highly valued; Demonstrated ability to collaborate across disciplines with community partners are also expected
Requirements: The successful candidate must have a Master’s and Doctorate in Social Work or a closely related field from an accredited university

Duties: Works collaboratively with the Project Principal Investigator (PI) and multiple research staff to achieve project goals; Plays an integral, collaborative role in leading and organizing the data analytics team; Directs project analysts and data managers, and ensures quality and accuracy of work, realistic deadlines are set, and appropriate resources are available to accomplish tasks. Regularly monitors progress to ensure that critical elements are proceeding on schedule; Works with PIs to formulate and write analytical plans for grant proposals, research projects and manuscripts; Performs statistical analyses and prepares corresponding statistical and project status reports
Requirements: Bachelor's Degree required; Minimum of 9-10 years experience required; Must be proficient in SAS and R, including programming and use of statistical procedures; Must have demonstrated knowledge of and experience with statistics and study design

Duties: Applies for grant support to novel lines of research in Bioinformatics; Creates new algorithms and mathematical models to solve problems in Genomics and NGS; Develops and guides the implementation of specialized software to solve Biological problems and support infrastructure development; Develops and guides the implementation of customized pipelines to solve recurrently appearing problems in Genomics and NGS; Trains and supervises junior scientists, Bioinformatics analysts and students providing collaborative assistance in various computing modalities to include but not limited to cloud experience
Requirements: Strong background in Computer Science, Statistics, Genomics, Genetics, RDBMS, Cloud Computing, Google APIs, Bioinformatics and Computational Biology required; Programming skills in languages such as C++ or/and JAVA, and experience programming in PERL or PYTHON; Expert level programming in statistical software such as SQL and R preferred; RDBMS preferred

Duties: Support toxicology programs for multiple research programs in the Federal Government. Apply extensive expertise in bioinformatics and toxicology. Work independently and in collaboration with multidisciplinary teams to assist the Government in such analyses
Requirements: Master’s degree in Toxicology, Biostatistics, Bioinformatics, or Life Sciences; 10+ years of experience with leading a team; Experience with Next Generation Sequencing or microarray genotype data; Experience with multi-omics data analysis and biological data annotation, curation, and data mapping

Duties: The Department of Agriculture, Food and Resource Science at the University of Maryland Eastern Shore is seeking highly qualified applicants in the areas of agricultural bioinformatics and/or biostatistics
Requirements: PhD in computer science, bioinformatics, statistics or other quantitative sciences. Candidates with degrees in other relevant fields but with demonstrated experience in bioinformatics and statistics will be considered

Duties: Performs analysis of gene expression and proteomic data acquired from clinical tissues, biofluids and experimental models; Contributes to prognostic models and performs decision analysis; Collaborates with surgeons, bioinformaticians, biostatisticians, and laboratory personnel, and will develop a supervised project; Coordinates with mentor in model design and development based from biomarker and clinical data; Writes/contributes to abstracts, publications, and conference presentations; May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role
Requirements: High School Diploma or GED required; Minimum of 0-2 years experience required; Strong computer skills and hands-on experience in analyzing biomarker based assay data, knowledge-based data analysis modeling software applications, working knowledge of scientific programming (PERL, Phyton, JavaScript, R, or Macro for MS-Excel etc)

Duties: Recommends and advises on the design of biomedical research protocols; Provides statistical support via statistical consultation and data analyses throughout the courses of studies and prepares statistical reports for presentations and publications; Coordinates statistical analysis and protocol data between protocols by providing statistical consulting on an ad hoc basis; Provides relevant statistical and project status updates to research staff. Recommends and implements changes as needed; Works with research staff to achieve the goals of the research program; May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role
Requirements: Master's Degree; Minimum of 9-10 years experience required

Duties: Undertake design and analysis of complex studies and provide statistical support, making contributions to clinical development plans. Utilize adaptive design and Bayesian methods, including trial simulation, to innovate and improve study design. Execute strategic, statistical thinking and guide the direction to improve the statistical methodology, processes, and delivery activities of study design. Responsible for analyzing, interpreting, summarizing, and presenting results of clinical trials. Develop design options and provide quantitative decision support and will oversee internal and external statisticians in the delivery of analysis and reporting on our clinical program designs
Requirements: Must possess a Master’s or foreign equivalent, in Statistics, Mathematics, or a related field, and five (5) years of experience in the job offered, as a Statistician, or in a related occupation. Must possess five (5) years of experience all of the following: Designing Phase III Oncology clinical trials including adaptive designs or through Bayesian methods; R, R-shiny and SAS programming; Conducting simulations; Performing biomarker analyses; Developing and submitting sNDA and NDA; Developing scientific publications of clinical oncology trials