Posted August 29, 2026
Postdoctoral Fellow
Harvard University
Cambridge, Massachusetts, United States 02163
Full Time
Reference: 286795352
Harvard University
Applicant Documents
Equal employment opportunity, including veterans and individuals with disabilities.
Position
Details
| Title | Postdoctoral Fellow |
|---|---|
| School | Faculty of Arts and Sciences |
| Department/Area | Stem Cell and Regenerative Biology |
| Position Description |
The Arlotta lab at HSCRB is working to identify the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism, by utilizing recent advances in genetics and genomics. We are developing and applying tools to understand how implicated genes act in neurons and circuits. We use large scale, unbiased, systematic approaches in collaborative multidisciplinary research teams.
This postdoctoral fellowship in the Arlotta lab involves computational analysis of functional genomics datasets with an emphasis on single-cell omics. This person will develop new computational methods to analyze novel RNAseq, ATACseq, and Spatial Transcriptomics datasets as well as optimally leveraging integration with existing genomics datasets.
The role will often involve rapid prototyping in support of a dynamic, fast-moving experimental program; it is focused on molecular biology applications relevant to investigation of brain function and psychiatric illness. This researcher will work in close collaboration with laboratory scientists on a range of projects with a specific emphasis on the interpretation of single cell results within a biological context. The position also entails close collaborations with multiple groups, many at the Stanley Center in the Broad Institute.
CHARACTERISTIC DUTIES
Analyze large scRNA-Seq datasets to profile transcriptomes from brain organoid models and neuronal cell populations, and interpret results to derive important biological insights into these models.
Work with wet-lab biologists to design and implement appropriate experiments for future computational analysis.
Explore advancing technologies such as spatial transcriptomoics, combined single-cell ATAC and RNA multiomics, and pooled CRISPR screening.
Develop, apply, document, and maintain computational tools, both for own use and to support analysis by biologist colleagues without formal computational training.
Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field.
Contribute to reports and papers for presentation and publication and present at scientific conferences, as appropriate.
Regularly attend and present results at team meetings to share results, plan projects and experiments.
Work with other computational biologists experienced with various sequencing technologies, including those at the Stanley Center, to learn, discuss, and integrate the most appropriate solution for an experiment or project.
ABOUT THE LAB We encourage applicants to read more about our scientific goals on our lab website. In addition, the Arlotta lab is actively working to become an equitable and inclusive community. The lab recognizes the inequity and bias within the academic community and is dedicated to our continuous self-education and activism in these areas. Future members are strongly encouraged to be active participants in these endeavors as part of their scientific career.
|
| Basic Qualifications | Ph.D. degree in Bioinformatics, Biology, Computer Science, or other relevant scientific discipline or equivalent experience is required. |
| Additional Qualifications |
Should have a demonstrated proficiency in R and/or Python, or related languages.
Experience with and solid understanding of statistical analysis is required.
Familiarity with next-generation sequence data analysis tools
Basic understanding of molecular biology and next generation sequencing is highly preferred
Familiarity with single cell data analysis is preferred, but not required.
Experience using a shared computing environment and a scheduler such as SLURM or qsub preferred
Experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology, is a plus.
Ability to work independently as well as part of an interdisciplinary team in a fast-paced environment, while making necessary connections with experts in various computational analysis groups
Self-starter, highly motivated
Excellent communication and interpersonal skills
Excellent organization and time management skills
|
| Special Instructions | |
| Contact Information | Zachary Trayes-Gibson |
| Contact Email | [email protected] |
| Salary Range |
$67,600-$80,000Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field |
| Minimum Number of References Required | 3 |
| Maximum Number of References Allowed | 5 |
| Keywords |
EEO/Non-Discrimination Commitment Statement
Supplemental QuestionsHarvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s . Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
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Required Documents
- Curriculum Vitae
- Cover Letter
- Statement of Research
- Other
Equal employment opportunity, including veterans and individuals with disabilities.
PI286795352
