ZipRecruiter

Log In

1

G2K Jobs (NOW HIRING)

Cribl

Regional Sales Manager, PacNW (Strategic)

Seattle, WA · On-site +1

$150K - $165K/yr

Success selling to G2K companies, and developed at least one new logo from scratch * Experience selling through a channel led motion * Able to create demand in a territory and selling un-budgeted ...

Cribl

Regional Sales Manager, Minneapolis (Strategic)

$150K - $165K/yr

Success selling to G2K companies, and developed at least one new logo from scratch * Experience selling through a channel led motion * Able to create demand in a territory and selling un-budgeted ...

next page

Showing results 1-20

All JobsG2K Jobs

G2K information

See salary details

$8

$26

$61

How much do g2k jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for g2k in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are G2K jobs?

G2K typically refers to 'Government to Knowledge' or 'Government to Key' roles, but it is most commonly recognized as a technology company specializing in digital transformation and smart solutions for businesses and governments. Jobs at G2K usually involve working on software development, data analytics, project management, and implementing smart technologies to improve operational efficiency. Employees in these roles may work with AI, IoT, and big data to help organizations make data-driven decisions. The company values innovation, collaboration, and expertise in cutting-edge technology fields.

What are the key skills and qualifications needed to thrive as a G2K (Go-to-Market) professional, and why are they important?

To thrive as a Go-to-Market (G2K) professional, you need a solid understanding of sales, marketing strategies, and market research, often supported by a degree in business or marketing. Familiarity with CRM software, data analytics tools, and marketing automation platforms is typically required. Strong communication, adaptability, and cross-functional collaboration skills set top performers apart. These skills ensure effective product launches, cohesive alignment between teams, and successful market penetration.

What is the difference between G2K vs Customer Service Representative?

AspectG2KCustomer Service Representative
Required CredentialsHigh school diploma or equivalent; some roles may require technical certificationsHigh school diploma or equivalent; customer service training often preferred
Work EnvironmentCall centers, technical support centers, or online platformsRetail stores, call centers, or office settings
Industry UsageTechnology, retail, telecommunications, and service sectors

G2K and Customer Service Representative roles often share similar credentials and work environments, especially in call centers and customer support settings. However, G2K roles may focus more on technical support or specialized customer interactions, while Customer Service Representatives typically handle general inquiries and sales support. Both positions are vital in customer-facing industries and require strong communication skills.

What are some common challenges faced by professionals in G2K (Government-to-Knowledge) roles, and how can candidates prepare for them?

Professionals in G2K roles often navigate complex regulatory environments and must balance the needs of government stakeholders with knowledge management best practices. A common challenge is ensuring accurate and timely information flow between departments while maintaining compliance with data privacy and security standards. Candidates can prepare by developing strong communication skills, staying updated on relevant laws and regulations, and gaining experience with knowledge management systems. Adaptability and a proactive approach to problem-solving are also highly valued in these positions.
More about G2K jobs
What job categories do people searching G2K jobs look for? The top searched job categories for G2K jobs are:
G2K jobs near you
Infographic showing various G2K job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 43% In-person, and 57% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Post Doctoral.Post Doctoral.Associate

Post Doctoral.Post Doctoral.Associate

University of Pittsburgh

Pittsburgh, PA

$47K - $64K/yr

Other

Posted 15 days ago

Job description

A postdoctoral position is available in the Wang Laboratory at UPMC Hillman Cancer Center. We seek highly motivated scientists with expertise in computational genomics/AI and/or translational cancer biology to join our dynamic, well-funded research program at the frontier of cancer genetics and precision oncology.

Candidates with training in both computational genomics and cancer biology are especially welcome to apply-our lab thrives on bridging computational discovery with experimental validation, and dual-skilled scientists will find exceptional opportunities to lead integrative projects spanning both domains.

Our lab operates at the intersection of computational innovation and experimental cancer biology. Funded by over $11.5 million in research grants-including four active DOD Breakthrough Awards totaling $5.1 million-we offer an exceptional environment for ambitious postdoctoral scientists to make high-impact discoveries with direct clinical translational potential.

Why Join Us?

"Dark matter" cancer genetics: Pioneer discoveries in uncharted areas of breast cancer genetics, including recurrent gene fusions (ESR1-CCDC170, BCL2L14-ETV6, RAD51AP1-DYRK4) and intragenic rearrangements (IGRs)-a largely unexplored class of genetic aberrations.

Precision immuno-oncology: Develop next-generation biomarkers (IGR burden, TAA burden, IMPREG signature) for immunotherapy patient selection, especially for TMB-low and PD-L1-negative cancers where current tools fall short.

AI-powered precision oncology: Build mechanism-driven AI and agentic AI frameworks (iGenSig-AI, G2K) that integrate biological knowledge with cutting-edge machine learning to transform omics data into actionable therapeutic insights.

Translational impact: Work alongside oncologists on a rapid discovery-to-clinic pipeline, with prospective clinical study and clinical trial design directly linked to laboratory findings.

Proven trainee success: Our postdoctoral alumni have received prestigious fellowships from the DOD, Susan G. Komen Foundation, Hillman Cancer Center, and the Gottfried Family Women's Health Award, totaling over $1.3M in trainee funding.

High-impact publications: Join a track record of publications in Nature Biotechnology, Nature Communications, Science, PNAS, Cancer Discovery, Cancer Research, Cancer Immunology Research, and Clinical Cancer Research.

Research Area 1: Computational Genomics & AI-Driven Precision Oncology

This position focuses on developing and applying advanced computational and AI methods to tackle major challenges in cancer genomics and precision medicine. Specific areas include:

1) Building the Genomics to Knowledge (G2K) agentic AI framework for automated transformation of multi-omics data into biological insights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations-including intragenic rearrangements (IGRs)-across cancer types and modeling their impact on the tumor immune microenvironment and immunotherapy response. 3) Developing clinical-grade mechanism-driven AI models (iGenSig-AI) for predicting responses to targeted therapies and immunotherapies, integrating graph neural networks, regulon-aware pooling, and transfer learning with biological regulatory networks. 4) Developing and validating computational biomarkers (IGR burden, TAA burden, IMPREG signature) for precision immuno-oncology panels.

Research Area 2: Translational Cancer Biology & Immunobiology

This position focuses on the experimental validation and biological characterization of newly discovered genetic targets at the interface of cancer genetics, pathobiology, and immunobiology. Specific areas include:

1) Investigating the functional roles of recurrent gene fusions (ESR1-CCDC170, BCL2L14-ETV6, RAD51AP1-DYRK4) and novel intragenic rearrangements in breast and ovarian cancer progression, immune evasion, and therapy resistance. 2) Characterizing novel structural mutations in actionable kinases and evaluating genotype-directed therapeutic strategies in preclinical models. 3) Performing in vitro and in vivo validation of computationally predicted cancer targets, including studies of epithelial-mesenchymal transition, drug resistance, and immune dysfunction. 4) Exploring immunotherapeutic strategies guided by biomarker status, including combination therapies with -catenin inhibitors and immune checkpoint blockade in triple-negative breast cancer.

Qualifications:

Ph.D. in bioinformatics, computational biology, computer science, cancer biology, molecular biology, immunology, genetics, or a related field. Depending on research focus, relevant experience may include machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation (strong programming skills in Python, R, or equivalent expected), and/or cell and molecular biology techniques, animal models, immunology assays, or translational research. Candidates with combined computational and experimental skills are especially encouraged to apply.

Apply