Scientific Data Analyst II - VICD

Job ID: req4683

Employee Type: exempt full-time

Division: Vaccine, Immunity and Cancer Directorate

Facility: Frederick: ATRF

Location: 8560 Progress Dr, Frederick, MD 21701 USA

The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.

Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.

Program Description

The Vaccine, Immunity and Cancer Directorate (VICD) has a primary mission to provide scientific leadership and laboratory infrastructure to study immune responses to Human Papillomavirus (HPV) vaccines and other cancer preventive strategies in the context of preclinical and clinical studies. As of part of a recent large effort, the National Institute of Allergy and Infectious Diseases (NIAID) and the Frederick National Laboratory (FNL) and other stakeholders are developing and evaluating vaccines with durable protection against influenza. VICD is leading the development of immunoassays with the highest reproducibility, sensitivity, and specificity for evaluation of immune responses induced by vaccination in clinical trials.

The Vaccine, Immunity, and Cancer Directorate (VICD) at the Frederick National Laboratory has a primary mission to provide scientific leadership and laboratory infrastructure to study immune responses to Human Papillomavirus (HPV) vaccines, other cancer preventive strategies and other viruses in the context of clinical and pre-clinical studies.

Our core values of accountability, compassion, collaboration, dedication, integrity, and versatility serve as a guidepost for how we do our work every day in serving the public’s interest.

Key Roles/Responsibilities

The Scientific Data Analyst II will be responsible for working directly with VICD Director, Managers and laboratory staff to manage large datasets and conduct data analyses of immunological data, including serology assay data, flow cytometry and other data generated by the laboratory in support of large clinical and epidemiological studies. The incumbent will work closely with the Scientific Manager and laboratory staff to provide statistical analysis, data trending, power calculations and study design. This is an onsite work position. No telework option.

The Scientific Data Analyst Will

• Build and manage databasesto support large-scale immunological laboratory datasets.
• Perform review of lab data and associated documentation for completeness, accuracy, and adherence to quality standards
• Perform validations of templates used for data acquisition and analysis following pre-defined procedures.
• Perform complex data analyses, data QC, and data interpretation in a timely manner within projected timelines.
• Automate data collection and analysis processes for improved efficiency and reproducibility.
• Prepare manual of procedures for data collection and data analyses.
• Analyze large amounts of data to identify biomarker measurement trends and patterns employing new and existing tools to interpret, analyze, and visualize data.
• Provide study design guidance to study investigators, such as power calculations and determine most appropriate statistical methods.
• Identify appropriate statistical methodology needed to meet study objectives, include assay qualification and validation.
• Perform statistical analyses of large, complex datasets from clinical trials and large epidemiological and longitudinal studies using appropriate statistical software packages.
• Design and generate tables and graphs in publication-quality form, and present results to managers and directors in a regular basis.
• Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
• Prepare and deliver reports for interim and final analyses, including data sections for quality control and validation proposals and reports.
• Write and review statistical sections of study proposals, protocols, and manuscripts.
• Review study proposals, including clinical trials and apply standards to create summary data reports.
• Efficiently troubleshoot or report any unexpected technical and analytical problems.
• Effectively communicate with all data generators and submitters to address requests, questions and concerns and clearly document actions taken.

Basic Qualifications

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Possession of a Master’s degree in Statistics, Computational Sciences, Data Sciences from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a related field. Foreign degrees must be evaluated for U.S. equivalency.
• In addition to the education requirement, a minimum of two (2) years of progressively responsible experience in data analyses.
• Strong knowledge of statistics and scientific data analyses.
• Experience working with databases containing large data sets.
• Statistical programming languages such as R Script and SAS, applied to biomedical studies.
• Experience in evaluation of assay performance by applying appropriate statistical trend analysis.
• Strong analytical skills.
• Experience with data management, Lab Information Management Systems and data transfer from different platforms.
• Ability to obtain and maintain a security clearance.

Preferred Qualifications

Candidates with these desired skills will be given preferential consideration:

• Ph.D. in Statistics, Computational Sciences, Data Sciences.
• A minumum of five (5) years related data analyses experience.
• Experience in Biomedical Sciences, immunology, or a related scientific discipline or education from an accredited college/university according to CHEA.
• Deep understanding and experience in processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation and visualization.
• Ability to understand and analyze data from complex experimental and epidemiological designs involving immunology, serology and biomarker assay data.
• Proficiency with Python, R, MATLAB, or similar scientific programming languages.
• Experience preparing scientific publications and presenting research findings in various technical and scientific forums.
• Ability to understand and analyze data from complex experimental and epidemiological designs involving immunology, serology and biomarker assay data.
• Experience in assay development, reference standard data analyses in GxP laboratory environment.

JOB HAZARDS

This position is subject to working with or has the potential for exposure to infectious material, requiring medical clearance and immunizations.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Pay And Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here

76,800.00 - 110,103.00 USD

The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data.

The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions