Research Associate – Single cell /single nuclei RNAseq data analysis at Gladstone Institutes

Description:

Who we are:

The Gladstone Institutes is an independent, not-for-profit research institution. Its mission is to improve the health and well-being of all people through medical research and education in neuroscience, cardiovascular biology, immunology, and stem cell biology. Home to notable leaders in science and biomedicine, Gladstone comprises five institutes as well as various centers and programs. All of its approximately 600 members are aligned in their mission to carry out or support science that overcomes disease. Located in an award-winning building at the Mission Bay Campus, Gladstone offers a competitive salary and benefits program. It provides an ideal environment for those seeking to maximize and fully leverage their potential. Consider Gladstone and make a difference in human health.

About the role:

The lab of Dr. Yadong Huang, MD, PhD, is seeking a data analyst to contribute to our research program in the Gladstone's Center for Translational Advancement (GCTA) and Gladstone Institute of Neurological Disease (GIND).

In the GCTA, our team is focused on developing a comprehensive human transcriptomic database in response to a diverse library of small molecule compounds to identify potential therapeutic candidates. The person will routinely analyze extensive snRNAseq data from compound-treated human neurons. Additionally, this role entails creating a searchable database for these datasets and developing algorithms to explore disease-relevant transcriptomic signatures associated with specific compounds.

The Huang lab also investigates the molecular mechanisms underlying Alzheimer's disease, employing multi-omics techniques, behavioral assays, electrophysiology, and animal models. The candidate will collaborate closely with experimental biologists on diverse projects and leverage computational methods to propel these investigations. Our well-equipped infrastructure offers access to substantial experimental data and advanced computational resources to achieve research objectives.

What you will do:

• Perform single cell /single nuclei RNAseq data analysis routinely using an established workflow.

• Develop and optimize algorithms to screen compounds with the potential to reverse disease-relevant transcriptomic signatures.

• Work closely with experimental scientists to address disease0mechnise related questions using computation approaches.

What you will need:

• BS or MS in data science, bioinformatics, computational biology, Mathematics, or a related field

• Strong programming skills in R, Python, or other programming languages

• Experience with scRNAseq or snRNAseq data analysis is a plus

• Basic knowledge with neuroscience is a plus

• Excellent communication and presentation skills

• Ability to work independently or as part of a team

If this role is not for you:

Please stay in touch and to see a complete list of our open career opportunities, please visit:

https://gladstone.org/careers

Hiring Range:

RA I $25-$29 hr.

Gladstone Perks & Benefits

• People–work with talented, committed, and supportive teammates within an organization that values each member of its community.

• A meaningful place to grow and learn–whether it’s your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone’s mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and diverse environment.

• Healthy work/life balance–you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work.

• Compensation–competitive salary. Title and salary will be commensurate with education and experience.

• Excellent benefits–generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.
  

​Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.