ChIP-seq, CUT&RUN, or ATAC-seq analysis including peak calling, differential accessibility, and TF motif enrichment; * Hands-on experience with established GRN inference methods to nominate or rank ...
ChIP-seq, CUT&RUN, or ATAC-seq analysis including peak calling, differential accessibility, and TF motif enrichment; * Hands-on experience with established GRN inference methods to nominate or rank ...
Senior Scientist, Bio AI
Redwood City, CA · On-site
$205K - $235K/yr
Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based ...
Senior Scientist, Bio AI
Redwood City, CA · On-site
$205K - $235K/yr
Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based ...
Yoga Instructor - RUMC Fitness Center
Chicago, IL · On-site
$25.91 - $38.87/hr
This position is responsible for instructing safe, effective group fitness classes, including all Aqua fitness (minus Aqua Taiji, Arthritis Plus, Aqua Yoga) / ATAC / Body Blast / Barbell / HIIT/ On ...
Yoga Instructor - RUMC Fitness Center
Chicago, IL · On-site
$25.91 - $38.87/hr
This position is responsible for instructing safe, effective group fitness classes, including all Aqua fitness (minus Aqua Taiji, Arthritis Plus, Aqua Yoga) / ATAC / Body Blast / Barbell / HIIT/ On ...
POSTDOCTORAL RESEARCHER - Green Center for Reproductive Biology Sciences - Banaszynski Lab [Req#: 93
Dallas, TX · On-site
Experimental approaches include classical cell and molecular biology techniques, Next-Gen sequencing techniques (e.g., ChIP-seq, RNA-seq, ATAC-seq), computational analysis, embryonic stem cell and ...
POSTDOCTORAL RESEARCHER - Green Center for Reproductive Biology Sciences - Banaszynski Lab [Req#: 93
Dallas, TX · On-site
Experimental approaches include classical cell and molecular biology techniques, Next-Gen sequencing techniques (e.g., ChIP-seq, RNA-seq, ATAC-seq), computational analysis, embryonic stem cell and ...
The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell ...
The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell ...
The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell ...
The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell ...
POSTDOCTORAL RESEARCHER - Green Center for Reproductive Biology Sciences - Banaszynski Lab [Req#: 92
Dallas, TX · On-site
Experimental approaches include classical cell and molecular biology techniques, Next-Gen sequencing techniques (e.g., ChIP-seq, RNA-seq, ATAC-seq), computational analysis, embryonic stem cell and ...
POSTDOCTORAL RESEARCHER - Green Center for Reproductive Biology Sciences - Banaszynski Lab [Req#: 92
Dallas, TX · On-site
Experimental approaches include classical cell and molecular biology techniques, Next-Gen sequencing techniques (e.g., ChIP-seq, RNA-seq, ATAC-seq), computational analysis, embryonic stem cell and ...
Research Associate in the Academic Support Staff
Philadelphia, PA · On-site
$17.25 - $22.25/hr
... ATAC-seq; presenting the results of experiments at laboratory meetings, departmental seminars, and national and international meetings. The successful applicant will have an opportunity to aide in ...
Research Associate in the Academic Support Staff
Philadelphia, PA · On-site
$17.25 - $22.25/hr
... ATAC-seq; presenting the results of experiments at laboratory meetings, departmental seminars, and national and international meetings. The successful applicant will have an opportunity to aide in ...
Postdoctoral Fellow
New Orleans, LA · On-site
$47K - $63K/yr
Experience in epigenetics, immunology, animal models, or genomic/transcriptomic data analysis (e.g. scRNA-seq, ATAC-seq, Cut&Tag, etc.) is preferred. Strong communication skills and a record of ...
Postdoctoral Fellow
New Orleans, LA · On-site
$47K - $63K/yr
Experience in epigenetics, immunology, animal models, or genomic/transcriptomic data analysis (e.g. scRNA-seq, ATAC-seq, Cut&Tag, etc.) is preferred. Strong communication skills and a record of ...
ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC * Histological and radiological imaging data * Clinical and epidemiological datasets * Lead independent research projects and contribute to ...
ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC * Histological and radiological imaging data * Clinical and epidemiological datasets * Lead independent research projects and contribute to ...
Senior Scientist, Bio AI
Redwood City, CA · On-site
$112K - $153K/yr
RNAseq profiling) for team members • Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well ...
Senior Scientist, Bio AI
Redwood City, CA · On-site
$112K - $153K/yr
RNAseq profiling) for team members • Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well ...
POSTDOCTORAL RESEARCHER - Center for Cellular Therapies and Cancer Immunology - Choi Lab [Req#: 8460
Dallas, TX · On-site
Experience with epigenetic techniques (ChlP-seq, ATAC-seq), strong background in molecular biology, proficiency in flow cytometry leading to publication in peer-reviewed journals is recommended.
POSTDOCTORAL RESEARCHER - Center for Cellular Therapies and Cancer Immunology - Choi Lab [Req#: 8460
Dallas, TX · On-site
Experience with epigenetic techniques (ChlP-seq, ATAC-seq), strong background in molecular biology, proficiency in flow cytometry leading to publication in peer-reviewed journals is recommended.
ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC * Histological and radiological imaging data * Clinical and epidemiological datasets * Lead independent research projects and contribute to ...
ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC * Histological and radiological imaging data * Clinical and epidemiological datasets * Lead independent research projects and contribute to ...
Senior Scientist, Bio AI
Redwood City, CA · On-site
RNAseq profiling) for team members • Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well ...
Senior Scientist, Bio AI
Redwood City, CA · On-site
RNAseq profiling) for team members • Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well ...
Responsibilities : • Develop machine learning and deep learning methods for analyzing large-scale single-cell DNA-seq, RNA-seq, ATAC-seq and spatial transcriptome data. • Develop modern ...
Responsibilities : • Develop machine learning and deep learning methods for analyzing large-scale single-cell DNA-seq, RNA-seq, ATAC-seq and spatial transcriptome data. • Develop modern ...
Prepare samples for spatial transcriptomics, ATAC-sequencing, single-cell applications, and other next-generation sequencing technologies. * Perform multicolor flow cytometry staining, acquisition ...
Prepare samples for spatial transcriptomics, ATAC-sequencing, single-cell applications, and other next-generation sequencing technologies. * Perform multicolor flow cytometry staining, acquisition ...
Process, analyze, and interpret high-throughput sequencing datasets, including RNA-seq, Ribo-seq, single-cell RNA-seq, spatial transcriptomics, and ATAC-seq data. * Build, execute, and maintain ...
Process, analyze, and interpret high-throughput sequencing datasets, including RNA-seq, Ribo-seq, single-cell RNA-seq, spatial transcriptomics, and ATAC-seq data. * Build, execute, and maintain ...
Bioinformatics Research Scientist - Center of Excellence for Pediatric Immuno-Oncology
Memphis, TN · On-site
The candidate will lead cutting-edge computational analyses of omics datasets including transcriptomics, proteomics, scRNA-seq, ATAC-seq, spatial omics, CRISPR screens, and other datasets, along with ...
Bioinformatics Research Scientist - Center of Excellence for Pediatric Immuno-Oncology
Memphis, TN · On-site
The candidate will lead cutting-edge computational analyses of omics datasets including transcriptomics, proteomics, scRNA-seq, ATAC-seq, spatial omics, CRISPR screens, and other datasets, along with ...
Prepare samples for spatial transcriptomics, ATAC-sequencing, single-cell applications, and other next-generation sequencing technologies. * Perform multicolor flow cytometry staining, acquisition ...
Prepare samples for spatial transcriptomics, ATAC-sequencing, single-cell applications, and other next-generation sequencing technologies. * Perform multicolor flow cytometry staining, acquisition ...
Applicant must have experience working with animal models of hypothyroidism and hyperthyroidism, and expertise in molecular biology techniques including ChIP-seq, single cell RNA-seq, ATAC-seq, and ...
Applicant must have experience working with animal models of hypothyroidism and hyperthyroidism, and expertise in molecular biology techniques including ChIP-seq, single cell RNA-seq, ATAC-seq, and ...
ATAC information
See salary details
$14.42 - $16.13
12% of jobs
$17.62 is the 25th percentile. Wages below this are outliers.
$16.13 - $17.83
15% of jobs
The median wage is $19.50 / hr.
$17.83 - $19.54
24% of jobs
$19.54 - $21.24
13% of jobs
$21.24 - $22.95
9% of jobs
$23.26 is the 75th percentile. Wages above this are outliers.
$22.95 - $24.65
16% of jobs
$24.65 - $26.35
5% of jobs
$26.35 - $28.06
2% of jobs
$28.06 - $29.76
3% of jobs
$29.76 - $31.47
0% of jobs
$31.47 - $33.17
1% of jobs
$14
$21
$33
How much do atac jobs pay per hour?
As of Aug 6, 2026, the average hourly pay for atac in the United States is $21.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $24.04 per hour, depending on experience, location, and employer.
What are some common challenges someone may face when working as an ATAC, and how can they be managed?
Air Traffic and Airspace Controllers (ATACs) often encounter high-pressure situations due to the need for constant concentration and rapid decision-making. Managing multiple aircraft, adapting to sudden weather changes, and handling communication with pilots can be stressful. To manage these challenges, ATACs rely on thorough training, standardized procedures, and teamwork, including regular briefings and collaboration with other controllers. Building strong situational awareness and stress management skills is essential for long-term success in this dynamic role.
What are the key skills and qualifications needed to thrive as an ATAC, and why are they important?
To thrive as an ATAC (Air Traffic and Control) specialist, you need strong spatial awareness, problem-solving skills, and a relevant degree or specialized training in air traffic control. Familiarity with radar systems, flight tracking software, and FAA certifications (such as an Air Traffic Control Tower Operator certificate) is typically required. Outstanding communication, decision-making under pressure, and teamwork are crucial soft skills for managing flight safety and coordination. These skills and qualifications are vital to ensure the safe, efficient, and orderly flow of air traffic in complex and high-stakes environments.
What is an ATAC?
ATACs, or Airborne Tactical Air Controllers, are specialized military personnel responsible for coordinating air support and directing aircraft during combat operations. They work closely with ground forces to ensure effective communication between air and ground units, providing real-time targeting information and mission guidance. Their role is critical in maximizing the effectiveness of air strikes while minimizing the risk to friendly forces and civilians.
What is the difference between Atac vs Cashier?
| Aspect | Atac | Cashier |
|---|---|---|
| Required Credentials | High school diploma or equivalent; training provided | High school diploma or equivalent; training provided |
| Work Environment | Retail stores, supermarkets, transportation hubs | Retail stores, supermarkets, transportation hubs |
| Employer & Industry Usage | Used by Atac retail and transportation services | Common in retail, grocery, and transportation sectors |
| Search & Comparison Intent | People comparing roles within retail or transportation | People looking for cashier job details or career info |
Atac and Cashier roles share similar credentials and work environments, often found in retail and transportation sectors. While Atac may refer to a specific company or brand, the cashier role is a common position across many retail settings. Understanding their similarities helps job seekers identify relevant opportunities within the industry.
More about ATAC jobs
What states have the most Atac jobs? States with the most job openings for Atac jobs include:
What job categories do people searching Atac jobs look for? The top searched job categories for Atac jobs are:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 12 days ago
Job description
About us
e184 Repro is a biotechnology research company with the mission of advancing in vitro gametogenesis to solve one of biology's most profound challenges: returning the fundamental right to procreate.
We work at the frontier of cutting-edge technology, integrating cellular reprogramming, machine learning-guided optimization, multi-omics analysis, and automated experimental workflows to enable gamete development for individuals facing reproductive challenges.
Role overview
As a Bioinformatics Scientist with a cellular reprogramming background, you will lead computational analysis of multi-modal genomics data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state conversion. This role focuses on gene regulatory network inference, differential analysis of single-cell transcriptomics, and computational prioritization of TF cocktails for cellular reprogramming, requiring deep expertise in multi-platform scRNA-seq analysis and transcriptional regulation biology. You will collaborate closely with wet lab teams to translate computational predictions into experimental designs, while also exploring hybrid approaches that integrate foundation model insights into our reprogramming pipeline.
What you'll do
Core requirements
You'll stand out with
Why e184?
What we offer
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
e184 Repro is a biotechnology research company with the mission of advancing in vitro gametogenesis to solve one of biology's most profound challenges: returning the fundamental right to procreate.
We work at the frontier of cutting-edge technology, integrating cellular reprogramming, machine learning-guided optimization, multi-omics analysis, and automated experimental workflows to enable gamete development for individuals facing reproductive challenges.
Role overview
As a Bioinformatics Scientist with a cellular reprogramming background, you will lead computational analysis of multi-modal genomics data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state conversion. This role focuses on gene regulatory network inference, differential analysis of single-cell transcriptomics, and computational prioritization of TF cocktails for cellular reprogramming, requiring deep expertise in multi-platform scRNA-seq analysis and transcriptional regulation biology. You will collaborate closely with wet lab teams to translate computational predictions into experimental designs, while also exploring hybrid approaches that integrate foundation model insights into our reprogramming pipeline.
What you'll do
- Lead end-to-end TF discovery for cellular reprogramming - from multi-platform single-cell genomics analysis (scRNA-seq, ATAC-seq) through GRN inference, differential analysis, and trajectory mapping - to nominate the regulators that flip cell fate.
- Crack the combinatorial code of reprogramming by ranking TF cocktails as actionable combinations and decoding pooled perturbation and CRISPRa screens at single-cell resolution.
- Read regulatory grammar straight off the chromatin - accessibility, motifs, synergy, repression - and build the data backbone that harmonizes modalities and platforms into something we can actually model on.
- Sit shoulder-to-shoulder with wet lab teammates, closing the loop between predictions and screens: ingest fresh NGS readouts, retrain, re-prioritize, and pick the next experiment that teaches the model the most.
Core requirements
- PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years relevant industry experience);
- Demonstrated track record applying computational TF ranking and GRN inference to cellular reprogramming problems, transdifferentiation, directed differentiation, or iPSC systems;
- Multi-platform single-cell RNA-seq expertise: hands-on analysis from at least two different platforms, including platform-specific troubleshooting and quality control;
- Multi-modal genomics proficiency: ChIP-seq, CUT&RUN, or ATAC-seq analysis including peak calling, differential accessibility, and TF motif enrichment;
- Hands-on experience with established GRN inference methods to nominate or rank regulators of cell state, beyond literature-curated lists;
- Experience analyzing pooled perturbation screens (CRISPRa, CRISPR knockout, or barcoded TF overexpression) with single-cell or bulk readouts;
- Working knowledge of trajectory inference and pseudotime methods for mapping cell state transitions;
- Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical analysis for high-dimensional data;
- Comfortable working in a modern computational environment: cloud platforms, workflow managers, containerization, and collaborative version control;
- Strong publication record and demonstrated cross-functional collaboration with experimental biologists.
You'll stand out with
- Direct experience nominating or validating TF cocktails that successfully induced a cell state conversion (published or in preparation).
- Experience with dynamical systems modeling for cell state transitions, or inverse problem approaches for TF combination ranking.
- Background in advanced trajectory inference (optimal transport, GRN dynamics over pseudotime), Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
- Familiarity with transformer architectures in genomics and interest in hybrid classical/ML approaches to gene regulation.
Why e184?
- Unrivaled impact: Your work directly enables technology that transforms human fertility and reproductive medicine.
- Full-spectrum growth: Gain exposure to the entire lifecycle of discovery. From screening to mechanistic validation.
- Best of both worlds: Experience the creative chaos of an early-stage startup with the stability of a well-capitalized company.
- Elite collaboration: Work alongside a world-class team who are as driven as you are.
What we offer
- Competitive salary + equity participation is considered
- State-of-the-art facility in Portland metro area
- Comprehensive Medical, Dental, Vision, and 401(k) with company match
- 20 days PTO + 11 paid holidays
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.