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Sr. Team Lead - Systems Biology Job

Date: Oct 9, 2017

Location: Raleighrk, NC, US

Company: BASF

Sr. Team Lead - Systems Biology-1704040

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.

Description
At BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world’s leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation.

We provide a challenging and rewarding work environment and are always working to form the best team—especially from within, through an emphasis on lifelong learning and development.

And we are constantly striving to become an even better place to work. BASF has been recognized by Forbes Magazine as one of America’s Best Employers in 2016. Come join us on our journey to create solutions for a sustainable future!

Where the Chemistry Happens…

We are seeking an innovative computational scientist to lead BASF's Systems Biology group at our site in Research Triangle Park (RTP), North Carolina. Your role covers management, coaching and development of the RTP Systems Biology team, while providing hands-on scientific project support. Your leadership skills and past experiences leading teams will be leveraged to organize tasks and communications within your team.

As part of a diverse and innovative global team of experts, you will apply statistical and computational skills to analyze molecular and phenotype data in support BASF's worldwide Bioscience Research activities. You will draw from novel genotypic, phenotypic, and expression profiling including transcript, protein, and metabolite data to identify product candidates. Your knowledge of novel developments and methodologies in the fields of Deep Learning and Machine Learning will prepare you to develop innovative solutions for the analysis and modeling of complex molecular biological data.

You will play a key role in developing strategy, and in communicating with multiple stakeholders within BASF. You will work closely with other systems biologists, bioinformaticians, biologists and software developers to conceive, implement, and execute innovative data analysis methods.

This is a challenging assignment with a motivated team in a high-paced, entrepreneurial work environment coupled with excellent opportunities for career development in a leading multinational corporation.

Create Your Own Chemistry: What We Offer You…

Adding value to our customers begins with adding value to you. You@BASF is the suite of benefits, perks, programs and unique opportunities we offer to support you—the whole you—in all stages of your life and career. With you@BASF, you create your own chemistry.

The total rewards that you receive as a BASF employee go way beyond a paycheck. From competitive health and insurance plans, to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, we believe investing in you is investing in our success. Working for a large, global organization, you’ll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.

Qualifications - BASF recognizes institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent

Ingredients for Success: What We Look For in You…
- PhD in Computational Biology, Systems Biology, Computational Genetics or a related field with 5+ years relevant work experience OR MS with 8+ years of experience OR BS with 10+ years of experience
- 2 years in a leadership role with direct reports
- Proficient scientific programming/scripting in R, ASReml, SAS, Python, C, Perl, or other relevant languages. Ability to work in UNIX computing environment.
- Understanding of Deep Learning, advanced Machine Learning, and statistical methods applied to integrated analysis of biological datasets (e.g. association genetics, mixed model approaches, machine learning algorithms, data integration, meta-data analysis, network analysis, etc.)
- Excellent organizational, communication and project management skills
- Display curiosity and demonstrate the ability to quickly learn new scientific areas.
- Must be goal oriented, customer focused and able to work in a fast-paced international team setting

What we would also like to see in you…
- PhD in Computational Biology, Systems Biology, Computational Genetics or a related field
- Experience using Deep Learning and advanced Machine Learning to solve complex biological questions
- Experience working in an industry or academic environment for 5 to 10 years
- Experience with model plant, crop, and microbial data sets

Primary Location: US-NC-Research Triangle Park
Function: REDE - Research & Development
Job Type: Standard
Shift: Day Job
Organization: (GOM)-Digitalization in R&D


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