Sr. Solutions Engineer
Sr. Solutions Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a highly skilled and motivated Senior Solutions Engineer with a strong background in Bioinformatics to support our sales and customer engagement efforts. This hybrid technical and customer-facing role will involve partnering with the sales team to deliver tailored solutions for clients in the biotech pharma and research sectors. The ideal candidate will combine deep domain expertise in bioinformatics with strong communication skills and technical acumen.
Key Responsibilities:
Pre-Sales Support: Collaborate with account executives to understand customer needs present solutions and demonstrate products tailored to bioinformatics workflows.
Technical Demos & POCs: Develop and deliver compelling product demonstrations proof-of-concepts (POCs) and pilot projects that address customers scientific and data challenges.
Solution Design: Architect and recommend end-to-end bioinformatics workflows and platforms that integrate with customer environments (e.g. sequencing pipelines data analysis cloud infrastructure).
Customer Engagement: Act as a trusted advisor to prospective and existing clients translating scientific needs into technical solutions and providing feedback to product and engineering teams.
Proposal Development: Assist in the creation of technical proposals RFP responses and other sales collateral.
Training & Enablement: Support onboarding and training sessions for customers and internal teams on bioinformatics tools and platforms.
Cross-functional Collaboration: Work closely with Product Management Engineering and Customer Success to ensure solutions are aligned with customer expectations and roadmaps.
Qualifications :
Required Qualifications:
Bachelors or Masters degree in Bioinformatics Computational Biology Computer Science or related field. PhD is a plus.
3 years of experience in a bioinformatics solutions engineering or pre-sales role preferably in a SaaS biotech or life sciences technology company.
Strong understanding of bioinformatics tools and pipelines (e.g. NGS variant calling transcriptomics single-cell analysis).
Familiarity with scripting languages (e.g. Python R Bash) and common data formats (e.g. FASTQ BAM VCF).
Knowledge of cloud computing environments (e.g. AWS GCP Azure) and workflow management systems (e.g. Nextflow Snakemake WDL/Cromwell).
Excellent presentation and communication skills with the ability to explain complex scientific and technical topics to both technical and non-technical stakeholders.
Proven ability to manage multiple projects and deliver under pressure in a fast-paced environment.
Preferred Qualifications:
Experience working with enterprise customers in the biotech pharma or academic research sectors.
Experience with LIMS ELNs or data visualization platforms.
Familiarity with regulatory and compliance requirements (e.g. HIPAA GDPR) in biomedical data management.
Salary and Other Compensation:
The annual base salary for this position is $145000- 155000 with an additional annual bonus component.. Factors which may affect starting pay within this range may include geography/market skills education experience and other qualifications of the successful candidate.
Benefits:
The Company offers the following benefits for this position subject to applicable eligibility requirements: medical insurance dental insurance vision insurance 401(k) retirement plan life insurance long-term disability insurance short-term disability insurance flexible paid time off 12 weeks of paid parental leave and national holidays paid.
Additional Information :
Headquartered in Mountain View California with over 220 team members across the United States and Europe DNAnexus is experiencing rapid growth and market adoption. With the support of leading investors including Google Ventures and Blackstone and trusted by hundreds of the worlds biomedical leaders the company is at the innovative forefront with our precision health data cloud to drive scientific breakthroughs. If you are interested in joining our team please apply today!
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
