Revvity
Sr. Field Application Scientist - Chemistry/Formulations
US Remote - MA · Senior · Part-time
Sponsorship not specified$100k-$125kDetected 1 day ago
RESTSalesCustomer SupportResearchCommunicationPublic Speaking
About the role
- As a Field Application Scientist at Revvity Signals, you will be instrumental in driving sales success by closely collaborating with our sales team to navigate opportunities from initiation to close.
Responsibilities
- Partner with representatives of the Sales organization to achieve customer engagements that drive the adoption of our solutions.
- Design and execute custom/highly configured software demonstrations in support of pre-sales activities.
- Your responsibilities include crafting and presenting product demonstrations, overseeing proof of concept processes, and ensuring seamless handover to our professional services and customer support teams.
- This role also involves contributing technical insights to support product enhancement and improve customer engagement strategies.
Requirements
- Bachelor's degree in Organic Chemistry, Formulations, Cheminformatics or STEM disciplines.
- 3+ years of lab experience in research or industry.
- Strong understanding of synthetic chemistry required.
- 3+ years' experience with relevant scientific and informatics solutions, including ChemDraw,
- Supplemental support of canned demonstrations as required in the territory.
Nice to have
- MSs or PHD degree in Organic Chemistry, Formulations, Cheminformatics or STEM disciplines.
- Electronic Lab Notebooks (ELN) and analytics platforms like Spotfire is highly desirable.
- Strong experience with scripting languages and RESTful APIs desirable.
- Strong skills in communication and presentation, capable of effectively conveying a solution value.
- Highly customer-oriented with the ability to engage with clients at all levels, conduct demonstrations and solution proof of concepts.
- Open to travel to customer sites and conferences, with travel expectations of 30-40%.
- Previous customer-facing experience is a plus.
- This range reflects the minimum and maximum target for a new hire in this position.
Compensation
- The pay range for this full-time position is a salary $100,000.00 - $125,000.00 USD Annually.
Benefits
- Medical, Dental, and Vision Insurance Options
- Life and Disability Insurance
- Parental Benefits
- Compassionate Care Leave
- Employee Stock Purchase Plan
- Learn more about Revvity's benefits by visiting our Bswift page.
- For benefit-eligible roles only.
- Part-time and temporary roles may not be eligible for all benefits listed.
Company info
- Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world's greatest health challenges.
- We pair the enthusiasm of an industry disruptor with the experience of a longtime leader.
- Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we're able to push boundaries in pursuit of better human health.
- Find your future at Revvity
- Revvity Signals Software offers one of the most comprehensive platforms of scientific software in the world.
- Our powerful informatics solutions are used across a spectrum of industries including Pharma and Biotech, Specialty & Agro-Chemicals, Energy & Petrochemicals, Flavors & Fragrances, Food & Beverage, and Electronics.
- Our future-proof technology enables investigators in Life Sciences to capture and analyze their data from initial research and development of their therapeutics, through biomarker discovery & patient stratifications and ultimately live tracking of their clinical trials.
- Job Overview: As a Field Application Scientist at Revvity Signals, you will be instrumental in driving sales success by closely collaborating with our sales team to navigate opportunities from initiation to close.
Equal opportunity
- equal opportunity employer.
- If you are an applicant with a disability that requires reasonable accommodation to complete any part of the
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This listing is sourced directly from Revvity's careers page and normalized into a canonical job model.