Business Development Executive – Life Sciences & AI

Permanent employee, Full-time · Remote (UTC +/- 2 hrs)

About the role

Apheris is revolutionizing how businesses commercialize their data for ML by enabling governed, secure, private computational access without sharing data. We are seeking an experienced Business Development Executive to identify, pursue and secure business opportunities within the biotech and pharma industries. This role requires a forward-thinking individual with a strong drive to collaborate with technical stakeholders (e.g., data science, ML engineering) to identify the potential of applying our AI-enabling technology in life sciences for a range of use cases (e.g., drug discovery, clinical trials, RWE, clinical tooling) and generate new business opportunities. In many instances, the role will facilitate collaboration and manage complex projects across organizations. An ideal candidate will have a track record of selling six-to-seven-figure enterprise software, though we place particular emphasis on technical acumen, program management skills, and an understanding of the data landscape and needs in life sciences.

What you will do

Business Development: Co-develop and implement business development and sales strategies to grow the company’s presence in targeted biotech and pharma organizations or geographies, tailoring approaches to each opportunity.
Technical Use Case Scoping and Program Management: Identify and scope use cases of the Apheris Compute Gateway and develop delivery plans, working together with data scientists and research as well as stakeholder from healthcare data companies, also in multilateral setups.
Prospecting and Lead Generation: Identify and pursue new business opportunities regarding the application of federated computing within the biotech and pharma sectors through outbound prospecting, including cold outreach and social selling.
Client Engagement: Build and maintain relationships with key executives and stakeholders (incl. technical individuals such as data scientists and ML engineers) in life sciences, engaging them throughout the sales process and matchmaking to enable multilateral setups.
Pipeline Management: Research, identify, and generate viable customer opportunities to build a qualified pipeline, meeting and exceeding pipeline and contract targets.
Collaboration: Work closely with leadership and internal teams (pre-sales, customer sales engineering, AI programs) to shape commercial outreach and shepherd engagements from initial contact to contract closure.

What we expect from you

By month 2: Demonstrate a solid understanding of the Apheris Compute Gateway, use cases, current target segments, and key stakeholders and compellingly articulate our value proposition to diverse audiences, with varying levels of technical expertise.
By month 3: Show a pipeline strategy of qualified leads within life sciences (e.g., pharma, data aggregators, modelers), underpinned by initial traction in discovery calls.
By month 6: Establish a strong pipeline of qualified leads within the biotech and pharma sectors and secure 1-2 net new initial enterprise contracts.

You should apply if

You have an advanced degree in life sciences (e.g., structural or molecular biology, chemistry, bioinformatics, pharmaceutical sciences, biochemical engineering, or similar) OR multiple years of work experience as part of or interacting with life sciences R&D.
You have an in-depth understanding of the data needs and use cases of life sciences organizations and the existing health data landscape.
You have experience in enterprise software sales, preferably in life sciences.
You have exceptional analytical skills – Apheris is building a complex product at the interface of privacy and security in machine learning, and drug discovery/development. This does not intimidate you as you have previously thrived in settings with complex technical characteristics by translating them into industry- or business-relevant terms.

Bonus points if

You have 3+ years of experience in closing net new business, selling enterprise SaaS within the biotech and/or pharma sectors and consistently exceeding sales quotas.
You possess domain knowledge of machine learning and how it is currently being used by leading life sciences organizations.
You have prior experience working as a data scientist, sales engineer, or in research (or similar) in an industrial or academic biotech setting.
You are proficient in sales and CRM tools such as HubSpot.
You have a strong business network in global biotech and pharma.

If you don’t match 100% of the requirements but think you’re a good fit for the role, we encourage you to apply anyway. We care about finding people with the right values, motivation, and potential to grow, and will work with you to adapt the role if it’s the right fit.

What we offer you

Industry-competitive compensation
Early-stage equity
Remote-first working – work where you work best, whether from home or a co-working space near you
The right hardware to make you efficient – be it a laptop with Linux, Windows, or a MacBook
Great suite of benefits including a wellbeing budget, mental health benefits, a work-from-home budget, a co-working stipend, and a learning and development budget
Regular team lunches and social events
Generous holiday allowance (location-dependent)
Quarterly All Hands meet-up at our Berlin HQ
A fun and diverse team of mission-driven individuals with a drive to see AI and ML used for good
Plenty of room to grow personally and professionally and shape your own role

Here’s a bit more about our culture and ambitions at Apheris!

About Apheris

Finding solutions to the planet’s most urgent problems requires organizations to collaborate. But the data and insights needed to solve these challenges are locked away in businesses, unable to be centralized or directly shared for collaboration with customers and partners. Apheris is pioneering a new way for organizations to securely collaborate on even the most sensitive data across organizational and geographical boundaries. By unlocking value from sensitive data, Apheris is accelerating discovery and innovation, driving operational efficiency, and reducing risk and carbon impact for our customers and their partners.

Apheris is a platform that empowers businesses to run advanced analytics and machine learning models across organizational and geographical borders in a way that’s secure, private, and governed. By powering their data infrastructure with federated ML and analytics, businesses can build and operationalize data applications in ways previously not possible. At Apheris, we’re unified by our mission and the positive impact we can have. We’re excited by the potential we can bring with our federated approach and are looking for someone who can help us define, build and scale this impact. What are you waiting for? Come and join us.

Logistics

Our interview process is structured as follows:

Initial Screening: If your application matches our requirements, we invite you to an initial video call to get to know us and the role. The interviewer will be interested in your relevant experiences and skills, as well as answer any questions on the company and the role itself that you may have.
Deep Dive: In this phase, a domain expert from our team will assess your skills and knowledge required for the role by asking you about meaningful experiences or your solutions for specific scenarios in line with the role we are staffing.
Final Interviews: Finally, we invite you for up to three hours of targeted sessions with our leadership team and your potential future colleagues, talking about the market, our technology, and our culture. As part of this final stage, you will also present a case study that you prepared beforehand.

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Your application!

We appreciate your interest in Apheris. Please fill in the following short form. Should you have any difficulties in uploading your files, please contact us by mail at career@apheris.com.