Senior Research Associate, Quantitative Image Analysis
United Therapeutics
California, US residents click here.
The job details are as follows:
Who we are
We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation. Our public benefit purpose is to provide a brighter future for patients through the development of novel pharmaceutical therapies; and technologies that expand the availability of transplantable organs.
United Therapeutics (Nasdaq: UTHR) seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. We were founded in 1996 by a family seeking a cure for their daughter’s pulmonary arterial hypertension( PAH). Today, we have six FDA-approved therapies that treat PAH, pulmonary hypertension associated with interstitial lung disease (PH-ILD) and neuroblastoma, a rare pediatric cancer. Our near-term pipeline seeks to develop additional therapies for PAH and pulmonary fibrosis (PF).
The cure for end-stage life-threatening diseases like PAH, PH-ILD, PF, and many others is an organ transplant, but only a small percentage of donated organs are available to address the vast need. For this reason, we are working to create bio-artificial organs to address the shortage of kidneys, hearts, lungs, and livers available for transplant. We believe an unlimited supply of tolerable, transplantable organs will eliminate the transplant waiting list and cure end-stage organ diseases for which transplant is not currently an option.
Who you are:
Our Regenerative Medicine Lab (RML) is seeking their next imaging superstar and the bar has been set super high! We are looking for our human who thrives in front of a computer analyzing large amounts of data and developing processes to scale. 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. Are you looking to learn from the best imaging and analysis folks around while working to change the world? Apply here:
- 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 such as human or animal cells and tissues
- May be responsible for training new team members on specific tasks
- May handle human tissue, cells, and/or materials that come into contact with human cells that may carry infectious agents. Shall comply with appropriate safety procedures and exercise universal precautions
- Perform all other duties as assigned
Minimum Qualifications
- 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
Preferred Qualifications
- Experience with fluorescence microscopy or other advanced imaging techniques
- Experience interpreting data from analytical techniques such as Western Blot, ELISA, and RT-PCR
Job Location
This role is located 100% onsite in RTP, North Carolina.
Eligible employees may participate in the Company’s comprehensive benefits suite of programs, including medical / dental / vision / prescription coverage, employee wellness resources, savings plans (401k and ESPP), paid time off & paid parental leave benefits, disability benefits, and more. For additional information on Company benefits, please visit https://www.unither.com/careers/benefits-and-amenities
United Therapeutics Corporation is an Equal Opportunity Employer, including veterans and individuals with disabilities.