QIAGEN Hiring for Bioinformatics Specialist (QIAGEN Sciences, LLC) at Germantown, MD  Full Time

At the heart of QIAGEN’s business is a vision to make improvements in life possible.

We are on an exciting mission to make a real difference in science and healthcare. We are still the entrepreneurial company we started out as and have today achieved a size where we can bring our full power to many initiatives and to our presence across the globe.
Our most valuable asset are our employees – more than 6000 in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us.
There are few players who have shaped the world of modern science and healthcare as much as QIAGEN, and we have only just started.
If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic and international, diverse teams and want to make a real impact on people’s lives, then QIAGEN is where you need to be.

Join us. At QIAGEN, you make a difference every day.

Position Description

Analyze complex genomic data from next generation sequencing (NGS) and PCR platforms to develop data analysis algorithms and pipelines in collaboration with product development scientists. The data analysis pipelines support both internal product development needs and also customer-facing services. Duties include:

1. Draft experimental plans, analyze internal data to develop more optimal solutions, and carry out further implementation in collaboration with R&D teams. Identify and incorporate new algorithms into initial design strategies to advance performance;
2. Identify computational solutions for tool development to develop early technology proof of principle analyses:
   1. Explore Long reads technology feasibilities for various clinical applications;
   2. Explore new DNA enrichment technologies to detect ultra-low alle frequency DNA variants;
   3. Explore using Nanopore reads to detect human disease-related structure variations;
3. Evaluate NGS data analysis methods published in peer-reviewed literatures and extend them to develop and deploy state-of-the-art NGS data analysis solutions for both internal R&D work and for our customers;
4. Build bioinformatics foundations and code bases to leverage QIAGEN’s inventions for existing and future product development:
   1. Build algorithms and modules for sequenced-based products to better use single primer extension and unique molecule identifier product designs;
   2. Discover and develop statistical models to predict melting temperatures for probes, blockers, and primers with lock nucleic acid;
   3. Test and develop classical and neural network-based machine learning approaches to predict and improve success ratio for digital PCR assay designs and sequencing technologies for somatic mutation detection;
5. Participate and support company product launches. Develop data analyses pipeline and provide post-launch bioinformatics and customer support for low input T cell receptor sequencing kit, SARs-Cov-2 sequencing detection kit, and monkeypox sequencing detection kit;
6. Work with sales team and molecular biologists to troubleshoot existing assay design and data analysis pipelines that use a combination of in-house code and open-source software from the academic community;
7. Convert research prototype scripts into robust scientific software optimized for performance, scalability, and adherence to coding best practices;
8. Continuously develop code, database, and computational infrastructure towards the goals of extending assay design and data analysis functionality for new business needs as well as reducing resources needed for manual troubleshooting by optimizing system design and error handling.

May telecommute from any US location.

Position Requirements

Minimum Requirements:

A Master’s degree or foreign equivalent in Bioinformatics, Biology, Computer Science, or a closely related field plus 1 year of experience in a bioinformatics scientist-related occupation. Experience may be gained during or after Master’s degree program.

Experience must include the following, which may have been gained concurrently:

• 1 year of experience writing code to manipulate and analyze complex genomic measurements and annotations;
• 1 year of experience in machine learning, deep learning, and statistical modeling;
• 1 year of experience writing Bash, R, or Python code in a Linux environment;
• 1 year of experience with container technology (e.g. Docker), version control systems (e.g. git), and major cloud provider tools;
• 1 year of experience collaborating with R&D teams to interpret and refine Next Generation Sequencing data analysis;
• 1 year of experience collaborating with R&D teams to prepare reports, charts, and graphs for presentations to the collaborators.

Job site: 19300 Germantown Road, Germantown, MD 20874. Full-time.

JOB OPPORTUNITY QUALIFIES FOR EMPLOYEE INCENTIVE REFERRAL PROGRAM.

To apply, mail cover letter and resume, referencing Req. #015640-300-299, to Cynthia Fletcher, Human Resources, QIAGEN Sciences, LLC, 19300 Germantown Road, Germantown, MD 20874.

What we offer

At the heart of QIAGEN are our people who drive our success. We act with passion, always challenging the status quo to drive innovation and continuous improvement. We inspire with our leadership and make an impact with our actions. We create a collaborative, safe and engaging workplace which forms the basis for high performing individuals and teams. We drive accountability and entrepreneurial decision-making and want you to excel your growth and shape the future of QIAGEN.

QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including but not limited to assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law.

QIAGEN complies with applicable laws regarding the confidentiality of employee health information and the reasonable accommodation of individuals with disabilities and/or sincerely held religious beliefs. Candidates who require accommodation should contact . This policy is part of QIAGEN’s ongoing efforts to support public health efforts and to ensure the safety and-well-being of its employees, customers, business partners, and community.