Job Description
Field of Research:
Computational biology/bioinformatics with emphasis on spatial transcriptomics proteomics and immunosequencing using Pixelseq and an immune receptorfocused multimodal expansion (ImmunoPixelseq). Work includes NGS data processing spatial barcode mapping singlecell & spatial analysis and cell segmentation in brain tumor and other tissues.
Purpose of the Research project(s):
To build and operate robust reproducible pipelines that transform raw sequencing barcode map into highquality spatially resolved singlecell datasets; to deliver diseasefocused analyses that advance mechanistic discovery and translational hypotheses (e.g. tumor microenvironment neuroanatomical circuits).
Duties and Responsibilities:
Endtoend data processing (BCL/FASTQ QC counts) 20%
Demultiplexing adapter/quality trimming UMI handling alignment/quantification; generation of MultiQC reports and run manifests.
Spatial barcode mapping & registration 15%
Build/validate barcode(xy) maps for Pixelseq; error correction; join gene/protein counts to spatial coordinates; QA of mapping rates.
Segmentation & QC 20%
Apply/benchmark nuclei or wholecell segmentation (e.g. Cellpose/StarDist/SAM); maintain curated masks and QC thumbnails.
Downstream singlecell & spatial analysis 20%
Create annotated data objects (e.g. AnnData/Seurat); normalization clustering label transfer; spatial neighborhood/domain analysis; multiomic modeling for RNAprotein where applicable.
Pipeline automation & reproducibility 10%
Implement/maintain Snakemake/Nextflow workflows with containers (Apptainer/Docker) CI tests and clear documentation.
Project support collaboration & reporting 7%
Prepare figures/tables; concise analysis memos; contribute to methods sections.
Light server/environment maintenance & upgrades (DevOpslite) 5%
Build and update containerized analysis environments maintain conda/uv environments.
DevOpslite & data stewardship 3%
Maintain analysis environments/containers; basic SLURM job scripts; coordinate with IT on storage/backup hygiene.
Visa Eligibility
This position is eligible for H-1B sponsorship.
Minimum Requirements:
Bachelors Degree in CS Applied Math Bioinformatics Computational Biology ECE and one year of relevant experience with Computational biology/bioinformatics.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements such as a license certification and/or registration.
Additional Requirements:
1. Programming & data: Python (numpy/pandas) basic R (Seurat/tidyverse) bash; Git; Linux.
2. NGS data processing: BCLFASTQ demultiplexing; adapter/quality trimming; UMI handling; QC with MultiQC; alignment/quantification to reference.
3. Spatial omics: Pixelseq barcode(xy) mapping concepts; creation of spatially annotated objects (AnnData/Seurat).
4. Segmentation: Practical use of Cellpose/FICTURE (or similar); basic image QC.
5. Singlecell & spatial analysis: Normalization clustering label transfer; spatial neighborhood/domain analyses (e.g. with Squidpy/Giotto).
6. Reproducibility & automation: Snakemake or Nextflow; containerization (Apptainer/Docker); clean documentation; basic SLURM job submission.
7. Communication: Clear writing of READMEs short analysis memos and figure captions for collaboration with biologists/clinicians.
8. Linux/HPC usage; Slurm job submission resource requests and environment management.
Desired Requirements:
1. Probabilistic modeling: scVI/scANVI/totalVI for RNA and RNAprotein integration.
2. GPU experience: PyTorch/CUDA for segmentation/model inference.
3. Data stewardship: DVC or equivalent data versioning; basic dashboarding/monitoring (Prometheus/Grafana).
4. Domain breadth: Prior coursework/research in biochemistry or genetics; interest in medical/MDPhD pathways.
5. DevOpslite: GitHub Actions CI environment pinning reproducible reference bundles and runbooks.
6. Experience assisting with server upgrades in collaboration with IT (CUDA/cuDNN & GPU driver stacks Slurm client updates module systems).
7. Basic familiarity with configuration/monitoring for research workflows (e.g. Ansible basics Prometheus/Grafana dashboards) under IT guidance.
8. Storage and I/O awareness for highthroughput data (scratch NVMe vs. bulk); performance troubleshooting for pipelines.
Compensation Benefits and Position Details
Pay Range Minimum:
$65004.00 annualPay Range Maximum:
$70008.00 annualOther Compensation:
-Benefits:
For information about benefits for this position visit Shift (United States of America)Temporary or Regular
This is a regular positionFTE (Full-Time Equivalent):
100.00%Union/Bargaining Unit:
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Our Commitment
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Required Experience:
IC