Associate Quantitative Analyst Jobs in Peekskill, NY

Research Associate

Experience 5-7 years (including doctoral training)
Location Remote
Area Institute for Quality

Business Cohen Veterans Network, Inc.

Status Full Time Exempt/Permanent

Job Grade 5

A Career with Cohen Veterans Network, Inc

At Cohen Veterans Network, we seek to improve the quality of life for veterans, including those from the National Guard and Reserves, active duty, and their families. CVN works to strengthen mental health outcomes and complement existing support. Our vision is to ensure that every veteran, active-duty service member, and family member can obtain access to high-quality care that enables them to lead fulfilling and productive lives. The Cohen Veterans Network, Inc., is a not-for-profit philanthropic organization (a registered 501c3 Private Foundation).

What you will do

We are seeking a post-doctoral research /associate scientist with a focus on quantitative data management and analysis to join our team in a full time permanent position. Under the Deputy Director, Institute for Quality, you will, conduct literature reviews and syntheses, develop research questions to interrogate through CVNs archival and/or prospective data collection mechanisms and methods and will identify and pursue grant funding opportunities to expand and enhance our research portfolio and impact on the field. You will also support internal operations research and quality improvement projects, optimizing clinical care and organizational processes to ensure CVN remains a learning mental health network and advancing the field.

Specifically, you will:

• Conceptualize proposed research projects based on subject matter knowledge, experience and critical evaluation of existing evidence including the peer reviewed literature
• Developand apply a range of analytic techniques and methodologies and research designs; conduct and present analyses of archival and prospective data
  • Conduct EHR-based data extraction, transformation, and analysis using SQL and R and/or Python
  • Support operational analytics needs across clinical programs (e.g., outcomes tracking, measurement-based care, program evaluation)
  • Build reproducible data pipelines and analytic workflows
  • Collaborate with clinical, operational, and data engineering teams to ensure data quality and usability
  • Applyresearch,data analytictools,and methodologies to address and resolve clinical and operational challenges/problemsin conjunction with the IQ team, other departments and CVN leadership.
  • Support program evaluation efforts and operational projects and studies
• Translate complex findings into actionable insights for scientific and non-technical audiences
• Work collaboratively in a multi-disciplinary team to support internal research initiatives, research grants, CVNs Scientific Advisory Board, and cross-collaboration between CVN-IQ and other departments and clinics in the network
• Assistin development, review and submission of grant application, research proposals, IRB protocols.
• Perform miscellaneous job-related duties or other projects assigned.

Whats required

• Doctorate, (PhD) in a clinical psychology or related clinical/social science field
• 5-7 years experience (includes doctoral training) in a research institute or academic setting
• Subject matter knowledge or expertise in clinical or experimental psychology or related field
• Knowledge and skill in data management, cleaning and analytic procedures and approaches.
• Substantial knowledge of social scienceresearchmethodologies and design including theoretical models, and major paradigms, i.e., qual/quant, mixed, survey, longitudinal, cross sectional.
• Ability to conceptualize, plan and conduct research studies as part of a team or with moderate support including an ability to design sampling strategies and study protocols and data analytic plans.
• History of publication in scholarly/peer reviewed journals.
• Adept at using technology including Excel, Word and PowerPoint and familiarity with online grant application portals and applications. Smartsheet experience preferred.
• Proven ability to write effectively and professionally for academic and scientific reviewers and review panels
• Experience with human subjects protections/IRB protocols and processes
• Excellent organizational, communication and coordination skills
• Commitment to the highest ethical standards
• Desire to be a part of a small, dynamic, and innovative team
• Some travel required (3-5 times per year - estimated)

We take care of our people

• Fully paid health care benefits
• Generous leave policies
• Substantial PTO and sick leave
• Mental and physical wellness programs
• Support a diverse, equitable and inclusive culture which empowers our people to be who they are, contribute their unique perspectives and make a difference in the lives of who we serve
• Professional learning and development opportunities
• Company teambuilding events
• A laptop and additional computer equipment will be provided for you by the company
• A 401(k) savings program with an employer match and more

The programs and initiatives of Cohen Veterans Network are staffed by talented individuals who have the passion, drive, and skills necessary to fulfill our mission. CVN is an Equal Opportunity Employer, appreciates and values individual differences, and welcomes diversity in its broadest definition. We are committed to promoting an inclusive organizational environment of dignity and respect.

The annual base salary range for this role is $77,504 - $95,837(USD),which does not include discretionary annual bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

This position requires limited access to Protected Health Information (PHI) to carry out identified job responsibilities. The type of PHI to which this position will have access, and any conditions on such access must be approved and documented prior to receiving such access.