We’re hiring! We’re on a mission to uncover the genetic causes of nephrotic syndrome in children, and we need you to help us take our outreach to the next level.

We’re looking for a Community Outreach & Social Media Coordinator to join our team. As part of our mission, you’ll expand, manage, and enhance our online presence, educate the community about our groundbreaking research, and engage with families interested in participating in our studies.

We're seeking a motivated Computational Biologist to contribute to groundbreaking research in the Sampson Lab. As part of our team, you'll focus on uncovering the molecular basis of nephrotic syndrome through human genomics, aiming to inform mechanisms, treatments, and cures for this disease. You'll collaborate with a diverse group of experts in nephrology, genetics, and bioinformatics to analyze genomic data, drive research projects, and support the broader goals of the lab.

If you're passionate about making a difference in rare disease research and possess a strong background in genetics, bioinformatics, or related fields, we want to hear from you!

We’re excited to share an open Post-doctoral Research Fellow position to study the genomics of nephrotic syndrome at Boston Children’s Hospital and Harvard Medical School. We’re interested in genomic discovery and its translation to genomic medicine in kidney diseases. If you're interested in immunosuppressive sensitive NS, APOL1 kidney disease, or Biobank-driven genomic discovery for nephrotic syndrome, we encourage you to reach out.

Post-doctoral Research Fellow – Sampson Lab Division of Nephrology, Boston Children’s Hospital & Harvard Medical School The focus of the Sampson Lab at Boston Children’s Hospital, Harvard Medical School is to discover the molecular basis of nephrotic syndrome through human genomics to inform mechanisms, treatments, and cures for this disease. We integrate genomics data with other molecular and clinical datasets to discover the biological and clinical impact of the disease-associated genomic variants we discover. We also focus on using large Biobanks to empower genomic discovery for NS. Finally, we are also using new technologies and developing analytic strategies to make definitive genomic diagnoses for patients. We now seek an intellectually curious and independent thinking post-doctoral fellow to drive forward projects in one or more of these broad research areas.

Specific projects available include:

• GWAS and blood and kidney eQTL/pQTL studies of immunosuppressive sensitive NS

• Genomic and single cell multiomic analysis of APOL1 mediated kidney disease

• Transcriptome-driven genetic diagnosis of nephrotic syndrome

• Nephrotic syndrome discovery using population- and hospital-based Biobanks

Postdoctoral Research Fellow in Computational Genomics and Genetics Full-time postdoctoral positions are available in Dongwon Lee’s laboratory. We study disease-associated genetic variants using computational approaches with a particular focus on transcriptional regulatory mechanisms. We have developed several machine-learning methods for the analysis of regulatory elements and regulatory variants (Lee et al., Nature Genetics 2015; Lee, Bioinformatics 2016; Lee et al., Genome Research 2018; Han et al., PNAS 2022). Projects will include the development of computational methods to model regulatory control of human disease by incorporating improved machine-learning/deep-learning algorithms and single-cell multi-omics data (genomic, transcriptomic, and epigenomic). There will also be ample opportunity to collaborate with clinicians and wet-lab biologists to apply our methods to clinical genetic and genomic data and to validate our computational predictions in model systems.

1. The applicant should have a Ph.D. degree in computational biology, bioinformatics, bioengineering, biostatistics, computer science, or other related fields.

2. Strong programming skills in Python, R, C/C++, or equivalent are required.

3. Experience with Unix/Linux and working with large genetic and genomic data in a high-performance cluster computing environment is highly preferred.

4. Excellent written and verbal communication skills and a willingness to write grant proposals and manuscripts are necessary.

Interested candidates should send a CV including three references, a cover letter, and representative papers (up to two) to: dongwon.lee@childrens.harvard.edu

Are you passionate about pediatric nephrology and eager to contribute to groundbreaking research? We have an incredible opportunity for you! Our lab is seeking a dedicated and enthusiastic Clinical Research Specialist to join our team for the Biobank to Illuminate the Genomic basis of Kidney Disorders (BIGKiDs) study. This is a chance to make a significant impact in the lives of children with kidney diseases and contribute to advancing medical knowledge in the field.

As a Clinical Research Specialist your responsibilities will include:

• Assists Principal Investigators (PIs) in planning and implementing clinical research studies as assigned. Under the direction of the PI coordinates preparation of protocol applications for submission to the IRB, sponsor or regulatory authority. As directed by the PI corresponds with the IRB, study sponsors, clinical research organizations, study participants and referring physicians.

• Recruits study participants for enrollment in clinical trials. Follows individual study protocols. Completes informed consent procedures as assigned. Organizes strategies for recruiting study participants, screens study participants for eligibility on the telephone, in the clinic and other settings as required. Completes follow up with study participants in prescribed settings as required.

• Organizes study procedures and schedules study participants for study visits. Assists the PI during patient visits. Performs study procedures designated for the Study Coordinator.

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Full-time postdoctoral research fellow positions are available in Dongwon Lee’s Laboratory. We study disease-associated genetic variants using computational approaches with a specific focus on transcriptional regulatory mechanisms. We have developed several machine-learning methods for the analysis of regulatory elements and regulatory variants (Lee et al., Nature Genetics 2015; Lee, Bioinformatics 2016; Lee et al., Genome Research 2018; Han et al., PNAS 2022). Our laboratory will continue to develop computational methods to model regulatory control of human diseases by incorporating improved machine-learning algorithms and single-cell multi-omic data (genomic, transcriptomic, and epigenomic.) New computational frameworks will help discover the molecular mechanisms driving the development and progression of human diseases.

• The ideal applicant should have received a Ph.D. degree within 12 months or expect to do so within the following 12 months in computational biology, bioinformatics, bioengineering, biostatistics, computer science, or other related fields.

• Strong programming skills in Python, C/C++, R, or equivalent are required.

• Experience with Unix/Linux and working with large genetic and genomic data in a cluster-computing environment is highly preferred.

• Excellent written and verbal communication skills and a willingness to write grant proposals and manuscripts are necessary.

Interested candidates should send a CV and a cover letter to: dongwon.lee@childrens.harvard.edu

We’re excited to share this Research Assistant position working under Principal Investigator Ana Onuchic-Whitford at Brigham and Women’s Hospital and affiliated with Harvard Medical School, Boston Children’s Hospital, and the Kidney Disease Initiative of the Broad Institute of MIT and Harvard.

The lab studies disease-associated genetic variants using computational approaches with a specific focus on transcriptomics, genetic regulatory mechanisms and glomerular kidney diseases (nephrotic syndrome, proteinuria). We are optimizing a computational pipeline to evaluate allele-specific transcriptomic regulation in kidney disease, by integrating multi-omics data (genomic, transcriptomic, and epigenomic).