Senior Clinical Informatics Sales Specialist, South

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Biotechnology, Genomics, Clinical Research, Clinical DiagnosticsIndustries

Requirements

Candidates must possess strong genomics, healthcare, and informatics technical knowledge and expertise to identify and close Informatics opportunities. Experience in selling Next Generation Sequencing and Genomic data analysis pipelines, applications, and products for clinical research or testing is required. The role demands the ability to act as an influencer and expert resource, impacting clinical data analysis and interpretation through engagement with C-level executives, Laboratory Directors, Healthcare practitioners, IT leaders, and data analysts. Familiarity with data visualization, data science including AI and Machine Learning, cloud-based workflows, Laboratory Information Management Systems (LIMS), and analysis/interpretation of NGS testing in a clinical environment, particularly in oncology, is essential. Experience with third-party providers and a proven ability to partner effectively are also necessary.

Responsibilities

The Senior Clinical Informatics Sales Specialist will drive customer adoption and sales growth of Informatics products by providing technical guidance and subject matter expertise during the sales cycle. Responsibilities include consulting with customers on informatics requirements, performing proof-of-concept analysis, partnering with third-party providers for end-to-end solutions, and collaborating closely with sales team members, especially the Healthcare Account Management team. The specialist will develop and conduct informatics presentations and seminars, create engaging demos, and facilitate customer assessments or pilot activities. They will also provide Voice of Customer input to development and marketing teams, act as a sub-regional subject matter expert for Clinical Informatics, and assist customers in removing informatics barriers to unlock sample volume and grow the sales pipeline.

Skills

Genomics

Healthcare Informatics

Next Generation Sequencing (NGS)

Genomic Data Analysis

Clinical Research

Clinical Testing

Sales

Cloud-based Enterprise Platforms

Data Analysis

Data Interpretation

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters

1998Year Founded

$27.2MTotal Funding

IPOCompany Stage

Venture Capital, BiotechnologyIndustries

5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.

Standardizing proteomics data across platforms could challenge Illumina's data reliability.

Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.

The company offers innovative array-based solutions for DNA, RNA, and protein analysis.

Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.

Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.

Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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