Senior Research Associate, Quantitative Image Analysis

United Therapeutics Corporation • NC

82d

About The Position

United Therapeutics seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. The Senior Research Associate, Quantitative Image Analysis role will conduct and assist in the development and analysis of engineered human lungs to combat the shortage of transplantable organs using advanced image analysis techniques to assess experimental outcomes. The position involves analyzing whole slide images of bioengineered lung tissue, designing and implementing custom scripts, and collaborating with scientists across research groups to translate complex biological questions into quantifiable image-based metrics.

Requirements

• 5+ years of post-baccalaureate laboratory experience in biology, cellular and molecular biology, or biomedical sciences with a Bachelor's Degree OR 3+ years of post-baccalaureate laboratory experience in biology, cellular and molecular biology, or biomedical sciences with a Master's Degree.
• Experience with quantitative image analysis of biological samples using QuPath, FIJI, Python, or other image processing tools.
• Ability to flag and troubleshoot unsatisfactory IHC stains with minimal assistance.
• Ability to independently follow experimental methods and protocols.
• Excellent laboratory technique, with experience in laboratory instrumentation and experimental design.
• Experience with processing software and data analysis, including statistical methods and data processing workflows.
• Proficient with standard software tools, including word processing, spreadsheets, and presentation platforms.
• Ability to effectively interpret, organize, and present data in a clear and meaningful way.
• Proficiency in project management and research methodology, including implementation, analysis, and reporting.
• Ability to work efficiently in a team setting and collaborate with a diverse set of peers.
• Strong written and oral communication skills.

Nice To Haves

• Experience with fluorescence microscopy or other advanced imaging techniques.
• Experience interpreting data from analytical techniques such as Western Blot, ELISA, and RT-PCR.

Responsibilities

• Quantify key experimental outcomes by analyzing whole slide images of bioengineered lung tissue using advanced image analysis techniques.
• Independently test, run, quality control, and report image analyses focused on scaffold recellularization outcomes.
• Design and implement custom scripts, macros, and code using tools such as QuPath, FIJI, and Python to support and automate quantitative image analysis workflows.
• Collaborate with scientists across research groups to translate complex biological questions into quantifiable image-based metrics that support experimental objectives.
• Collaborate with the Analytical Development team to support IHC biomarker development aligned with image analysis priorities.
• Perform image analysis tasks proficiently and communicate results clearly and promptly to relevant stakeholders.
• Identify and apply additional analytical approaches as needed to enhance understanding and interpretation of experimental results.
• Assist in evaluating and integrating new technologies or methodologies in collaboration with RML team members and external vendors.
• Make informed technical or scientific decisions during analysis with minimal supervision.
• Participate in tech transfer activities with internal or external parties as needed.
• Record all laboratory data in the in-house data management system(s).
• Adhere to prescribed laboratory methods and SOPs under GLP/GMP-like conditions.
• Follow all laboratory safety protocols, including proper use of personal protective equipment and safe handling of biohazardous materials.
• May be responsible for training new team members on specific tasks.
• Perform all other duties as assigned.

Benefits

• Medical, dental, vision, and prescription coverage.
• Employee wellness resources.
• Savings plans (401k and ESPP).
• Paid time off & paid parental leave benefits.
• Disability benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees