RWD Research Analyst (Part-Time, 20hrs)

About the position

OMNY is a real-world data exchange platform that enables health systems and specialty networks to share their de-identified data sets with external parties at scale. The company’s vision is to help sustain the healthcare ecosystem through a data driven business model, while unlocking incredible innovation in the life sciences industry with real world data from health systems. The OMNY platform ensures control, security, and data governance for both data sellers and data buyers. We are eager to bring on professionals who are prepared to innovate and redefine the standards of data sharing and utilization. Join us if you are ready to take on significant challenges and contribute to our continuous success! We are seeking a highly motivated and analytical Real World Data Research Analyst to join our fast-moving Sales team. This role will be instrumental in ensuring our clients get dedicated pre-sales support to help our growing Business Development team and network of partner organizations. You will leverage your technical expertise real world healthcare data and skills in SQL and other programming languages or analytical tools to investigate data inquiries, provide insightful solutions, and contribute to the overall success of our client relationships.

Responsibilities

• Generate tables and other materials to support the pre-sales process, including defining and profiling cohorts of interest and serving as an internal SME for OMNY products.
• Support internal stakeholders and clients (primarily by email) by serving as the ‘technical channel’ to the data by understanding their questions and desired outcomes, developing and executing queries on the data, and guiding the review and interpretation of the results.
• Participate in post-sale training and office hours sessions to impart your expertise and recommendations on the effective use of OMNY Health’s data, customized to meet the needs and objectives of clients.
• Work closely with OMNY product, engineering, data science, and sales, and marketing teams to align on technical requirements, timing, and other key components of OMNY engagements.
• Assist the Sales team in managing day-to-day interactions with life sciences and other research customers who utilize OMNY data and software solutions, ensuring timely and effective communication.
• Respond to customer inquiries and provide solutions to operational issues, escalating to appropriate internal team members as needed to ensure a seamless customer experience.
• Conduct in-depth research and analysis of EHR and administrative claims data using predominately SQL and other relevant analytical tools to investigate client inquiries and data quality issues.
• Develop and execute queries to extract, manipulate, and analyze large datasets to identify patterns, anomalies, and potential data issues.
• Coordinate internally across OMNY stakeholders to report issues and transition findings to support longer-term product development.
• Create and maintain documentation of data analysis findings and methodologies.
• Support OMNY revenue growth by partnering with sales as a subject matter expert in OMNY Health products specifically, and healthcare data more broadly.
• Participate in sales discussions and data evaluations to demonstrate the capabilities OMNY Health data, platforms, or provider research networks.
• Support proposal writing efforts.
• Coordinate with the sales team on pursuing upsell and account expansion opportunities, as well as renewal and customer retention results.

Requirements

• Bachelor's degree in a relevant field (e.g., Biostatistics, Epidemiology, Computer Science, Health Informatics, or related field).
• 2+ years of experience in a research analyst, RWD business analyst, customer support, or a related role, ideally for using real world healthcare data products.
• Strong proficiency in SQL for querying and manipulating large datasets.
• In depth experience with and knowledge of various types of healthcare data assets (EHR, administrative claims, etc.) and related analytic applications (e.g., commercial analytics, real-world evidence/HEOR).
• Experience working with unstructured data.
• Detail oriented with strong organizational skills, with a demonstrated ability to manage multiple tasks and priorities that necessitate a combination of analytic and project management skillsets.
• Excellent written and verbal communication skills, with the ability to interact professionally with clients and internal teams.
• Proven ability to thrive in a very fast paced environment; a demonstrated ability to manage and execute with a strong bias for action and effectively prioritizing/meeting aggressive deadlines.
• High degree of professional ethics, with a focus on doing what's right for the customer and the business, with purpose and contagious enthusiasm.
• Ability to work in a dedicated remote setting that prioritizes adherence to compliance with healthcare data security requirements and handling of confidential client information.

Nice-to-haves

• Master’s degree or Post Graduate Certificate in a related field (e.g., Life Sciences, Healthcare, Public Health, Social Sciences, Business, or a related discipline) is a plus.
• Familiarity with cloud-based data platforms (e.g., GCP, AWS, Azure).
• Experience with data visualization or other programming languages like Python or R.

Benefits

• Competitive salary commensurate with experience.