Roche

Roche

Field Applications Specialist- TD Long Island, NY

New York · Mid

Sponsorship not specified$73k-$136kDetected 18 days ago
Project ManagementCustomer SupportClinical Laboratory TechniquesResearchCommunicationProblem Solving

Stay score

odds of building a lasting career here

50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.
  • Creating a world where we all have more time with the people we love.
  • With a commitment to employee development and a work environment that values respect and empowerment, Roche offers exciting career prospects for those seeking to make a significant impact on patient care.

Responsibilities

  • The Roche Support Network offers an exciting opportunity for individuals who are passionate about problem solving.
  • Act as an advisor on customer issues and drive efficiencies & optimization for the customer and Roche through independent analysis and problem-solving.
  • A healthier future drives us to innovate.
  • Let's build a healthier future, together.
  • Performs these job duties remotely and independently.

Nice to have

  • Histotechnology experience highly preferred
  • Experience with Pharma, Academia and research with Roche Discovery products
  • Ability to learn and remain current on Roche solutions across various fields, including histology and discovery ultra
  • Effective written and verbal communication skills, along with project management experience.
  • Strong customer consultative skills, including advanced scientific knowledge, exceptional customer engagement, and the ability to foster strong customer relationships.

Skills

  • May adapt procedures, processes, tools, equipment, and techniques to meet the more complex requirements of the position.

Compensation

  • The expected salary range for this position based on the primary location of New York City/Long Island $73,100.00 - $135,700.00 USD Annual.

Benefits

  • Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come.
  • We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
  • Bachelor's degree in Medical Technology, Information Technology, Computer Science, Chemistry, Biology or Clinical Laboratory or equivalent work experience.
  • 3 + years of experience implementing and evaluating complex laboratory, IT products, medical diagnostic equipment, reagents and/or systems.

Company info

  • Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products.
  • Roche is an equal opportunity employer.
  • It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence.
  • The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
  • If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
  • The Roche Support Network is dedicated to providing exceptional support to customers.

Equal opportunity

  • equal opportunity employer.
  • If you have a disability and need an accommodation in relation to the online

This listing is sourced directly from Roche's careers page and normalized into a canonical job model.