Pieris Pharmaceuticals (Nasdaq: PIRS) is a publicly-traded, clinical-stage biotechnology company with operations in Germany and the United States. Pieris specializes in the discovery and development of Anticalin® protein-based drugs to target validated disease pathways in a unique and transformative way. Our pipeline includes inhalable Anticalin proteins to treat respiratory diseases, immuno-oncology multi-specifics tailored for the tumor microenvironment, and a half-life-optimized Anticalin protein to treat anemia. Proprietary to Pieris, Anticalin proteins are a novel class of therapeutics validated in the clinic and by partnerships with leading pharmaceutical companies. 

To strengthen our team in Hallbergmoos, we are looking for an experienced:
 
Data Engineer (m/f/d)

What do you tell people you do for a living?
 
“I help companies crunch data.”
 
Simple, if a little self-deprecating.
 
Or, do you try the technical route?
 
“I work with ETL, relational databases and connectors to improve analytics.”
 
What about: “I’m helping to accelerate the development of one of the world’s most promising cancer treatments?”
 
In this influential new role, that’s exactly what you’ll be doing.
 
In fact, ‘helping’ doesn’t really do the job justice.
 
You’ll be central to the success of this emerging clinical-stage biotech company by building them a new ‘digital laboratory’. It’s a newly created role – one with huge scope to make an impression, and support from the very top of the business.
 
The company is a global expert in discovering novel protein-based drugs that could revolutionise treatment for cancer and respiratory diseases. The science is very promising and they have partnerships with several major drug companies.

Making protein drugs is extremly challenging - there are many hurdles to overcome prior to market and the further you are in the race, the higher the expenses. That's why it is so important early on to identify candidates with the highest probability of success.
 
That's where you come in.
 
Your job is to build a new smart lab – an integrated, fully digital research and development engine to translate science into new treatments.
 
The transformation you deliver will enable scientists to make informed decisions early and to identify the most promising molecules via tailored algorithms. In turn, this will ensure faster trials with a better success rate.
 
Ultimately, you’ll be accelerating the development of life-changing therapies, bringing them to market faster.
 
It’s not every day that data engineers get to make such a vital impact on society.
 
About the role
 
It’s a role with huge autonomy in a business with a refreshingly flat, fluid management structure. Your brief is to build a new smart lab that allows seamless automated data flows. That includes:
  • Building device-to-device, device-to-IT and IT-to-IT integrations across functions and departments, either by using your own data/software engineering skills or by building links with external vendors;
  • Seamless consolidation of data from different sources prior to applying advanced analytics (e.g. fitting) and powerful visualisation tools (e.g. Spotfire) for game-changing decision making;
  • Intelligent process metadata management including structured data capture, data cleansing, and data enrichment as a preparation step for AI/ML activities;
  • Automating the way we currently capture data to save time, reduce errors and create high quality datasets in high throughput – this will be the foundation for predictive algorithms;
  • Helping to make past learnings available to today’s scientists (part of the company’s legacy data migration initiative). This includes discovering, structuring and cleaning data so it’s ready for upload and analytics.
 
You’ll be a visible presence: the go-to expert for colleagues with questions related to metadata management, data integrity and data retrieval. You’ll also coordinate the work of external consultants.
 
What you need

You need a bioinformatics background – whether that’s a relevant degree or experience of working in the sector.
Beyond that, there’s probably no one who’s 100% ready to step into this role. The job allows huge depth to explore new areas so it will almost certainly stretch your existing skills. Here’s an idea of what we need to see on your CV:
  • You’ve ideally been part of a ‘smart lab’ team, or part of a similar digitalization journey. If you’ve led aspects of this, even better.
  • Plenty of experience with device/IT integration and lab automation.
  • Success in building and maintaining relational databases.
  • You’ve mastered one or more of the following software tools: Excel (VBA), Spotfire, Prism, IDBS E-Workbook.
  • Ideally, you’re proficient in a programming language such as Python, R, Perl, Java.
  • IDBS or similar R&D data management technology; a nice-to-have.
 
Find out more

We are a fast-growing biotechnology company with approximately 130 employees at our sites in Freising (Greater Munich Area) and Boston (USA). We work in flat hierarchies with short decision-making paths and offer a working environment characterized by cooperation and innovation. Each of our employees participates in a bonus program based on the achievement of individual and company-wide goals. In addition, we offer each employee the opportunity to participate in a stock savings plan and a stock option program that allows employees to benefit directly from the company's success.
 
Numerous social benefits such as additional employer-financed company health insurance, free drinks, fruit baskets etc. as well as a bright, friendly and ultra-modern working environment with excellent technical equipment in our new company building in Hallbergmoos round off our overall package. Creative employee events take place several times a year, as team spirit is essential for us. The joint creation of an innovative and participative corporate culture is an important concern for us.