Regarding the position
Regarding the position
Apheris securely connects dispersed data for analytics and artificial intelligence, enabling safe data networks in the life sciences and healthcare industries. The Apheris Compute Gateway, our solution, makes it possible to reliably train and use AI models on remote data.We just obtained more funds and are now aiming to move on to the next phase of our expansion. To find, explore, and acquire business prospects in the pharmaceutical, biotech, and techbio sectors, we are looking for an experienced Director of Commercial Operations. A forward-thinking person with exceptional operational skills and a strong desire to work with technical and commercial partners (such as data scientists and machine learning engineers) is needed for this position. to provide new business prospects in a variety of application cases, such as clinical tooling, RWE, drug development, and clinical trials. The position will be in charge of all business development and pre-sales operations, from managing outreach and pipeline creation to scoping pilots and contracting, building on their life sciences data and R&D experience.A qualified applicant will have experience selling data insights, models, or computational techniques, preferably in the fields of early-stage drug development and drug discovery. A thorough grasp of the TechBio field is highly valued. In-depth scientific domain expertise will be provided by our VP of Life Sciences, with whom the position will collaborate.
What you will do Business Development: 
Build and maintain relationships with key executives and stakeholders (including R&D executives, ML scientists, legal & compliance stakeholders, and procurement) in the life sciences, engaging them throughout the sales process. This includes tailoring approaches for each opportunity and proactively identifying prospects to establish or join strategic consortia, such as those supported by initiatives like the Innovative Medicines Initiative (IMI).
Pilot Scoping and Management: Work with field engineering and other internal and external stakeholders to determine the scope, objectives, and success criteria of pilot projects. With a customer-first approach, guarantee timely execution by managing resources, aligning expectations, and resolving obstacles as they emerge to achieve significant outcomes.
Negotiate contracts, conditions, and prices with procurement teams to ensure that they meet the demands of the customer and the objectives of the business. Building mutual understanding and trust is essential while negotiating intricate procurement procedures.
Managing Lead Generation: Find and seize fresh business prospects pertaining to the use of federated computing in the biotech, techbio, and pharmaceutical industries. In charge of one direct report who specializes in outbound recruiting, which includes social selling and cold outreach. At the same time, work directly with internal stakeholders to construct the pipeline and supporting documentation.
Cooperation: To mold commercial outreach and guide engagements from first contact to contract closure, work together with leadership and internal teams (pre-sales, customer sales engineering, AI projects).
What we anticipate from you
. By the first month: Show that you have a firm grasp of the Apheris Compute Gateway, use cases, target audiences, and important stakeholders. You should also be able to persuasively explain our value proposition to a range of audiences with differing degrees of technical and scientific knowledge.
. By the second month: Demonstrate an expanding pipeline of quality leads in the life sciences, supported by robust discovery call traction. Oversee every facet of the pre-sales and business development funnel, maximizing effectiveness at each turn.
. By month six: Create a robust pipeline of qualified leads in the IT, biotech, and pharmaceutical industries. have obtained the first recurrent income and closed the first pilots.
You should apply if
. If you have worked in or interacted with life sciences research and development for a number of years, you should apply.
. You have a track record of successfully pitching software, data, or data insights to life sciences organizations, especially when it comes to pertinent R&D use cases like early-stage drug development and drug discovery. Your background shows that you can interact with and provide value to clients in the highly specialized fields of biotechnology, techbiology, and pharmaceuticals.
. You can create them to better suit use cases since you understand the dynamics of pharma-to-site and pharma-to-biotech networks. On site-specific data, you can determine where AI can have the biggest impact and what has to be done to allow AI-driven solutions.
. You are a master at customer service and operational excellence, constantly adding order and clarity to intricate procedures. You successfully coordinate many moving components, inspire and include stakeholders, and modify your plans as necessary—all while making sure nothing is overlooked.
. You're a really good analyst. Apheris is developing a sophisticated solution at the nexus of drug development and machine learning privacy and security. You have successfully translated difficult technical features into language that are relevant to your sector or business, so you are not intimidated by this.
Bonus points if:
We care about finding people with the right values, motivation, and growth potential, so if you don't exactly fit the requirements, we encourage you to apply anyway. Bonus points if you have a thorough understanding of the biotech and TechBio spaces; you have domain knowledge of machine learning and how it is currently being used by top life sciences companies; you have a solid business network in the pharmaceutical, biotech, and techbio industries; and you have previous experience working as a data scientist, sales engineer, or in research (or a related role) in an industrial or academic biotech context.
what you receive from us. Pay that is in line with industry standards
. Considerable equity in the early stages
. Working from home or a nearby co-working place is known as "remote-first working."
. Excellent benefits package that includes a budget for learning and development, a co-working stipend, a work-from-home budget, a mental health benefit, and a wellness budget
. Frequent social gatherings and team meals
. generous holiday allowance
. Our quarterly All Hands meeting at our headquarters in Berlin
. A varied and enjoyable group of people that are passionate about using AI and ML for good
About Apheris:
Apheris securely connects dispersed data for analytics and artificial intelligence, enabling safe data networks in the life sciences and healthcare industries. We offer a federated computing infrastructure with privacy, security, and governance features called the Apheris Compute Gateway. While maintaining complete control, data custodians can contribute their data to networks. Better models may be created by data scientists with access to a bigger data cohort. Apheris was established in 2019 when our co-founders created data apps that were unusable due to regulations that prevented data from being shared or consolidated across departments. They then thought, "What if the computation was sent to the data instead of the data having to move?" Today, Apheris is a platform that enables companies to run machine learning models and advanced analytics across organizational and geographic borders in a way that is safe, private, and governed. By empowering their data infrastructure with federated ML and analytics, they can build and operationalize data applications in ways that were previously impossible. At Apheris, we are united by our mission and the positive impact we can have. We are excited by the potential we can bring with our federated approach, and we are looking for the next member of our commercial team to join us in achieving our goal.
Logistics
The format of our interview procedure is as follows: Â
. Initial Screening: We welcome you to an initial video chat to learn more about us and the position if your application meets our standards. The interviewer will want to know about your relevant experiences and skills in addition to queries about the company and the role.
. Deep Dive: Â During this stage, a domain specialist from our team will evaluate your abilities and expertise needed for the position by questioning you about relevant experiences or how you would handle particular situations related to the position we are hiring for.
. Last Interviews: Â Lastly, we offer you to participate in focused sessions with our leadership team and your prospective colleagues for up to three hours. During these meetings, you will discuss our culture, technology, and the market. You will also present a case study that you have already prepared as part of this last step.