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Executive Computer Science Bioinformatics Jobs in Virginia

... work streams, and executive reviews. Cultivate relationships with partner federated and hub ... Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and ...

Flex your interpersonal skills to present how model risks could impact the business to executives ... Computer Science, or a related quantitative field) plus 6 years of experience performing data ...

Flex your interpersonal skills to present how model risks could impact the business to executives ... Computer Science, or a related quantitative field) plus 6 years of experience performing data ...

Flex your interpersonal skills to present how model risks could impact the business to executives ... Computer Science, or a related quantitative field) plus 6 years of experience performing data ...

Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required ... Strong communication skills to influence executives, translating complex analysis into compelling ...

Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required ... Strong communication skills to influence executives, translating complex analysis into compelling ...

We are seeking Enterprise Account Executives to be responsible for generating new business to ... Bachelor's Degree in Business, Marketing, Computer Science, Engineering, and/or closely related ...

... deliver intuitive, executive-ready reports and dashboards that make complex workforce data ... Qualifications : Required : • Bachelor's degree in a STEM field (e.g., Computer Science ...

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Executive Computer Science Bioinformatics information

What is the difference between Executive Computer Science Bioinformatics vs Data Scientist?

AspectExecutive Computer Science BioinformaticsData Scientist
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; often with leadership experienceDegree in computer science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) are common
Work EnvironmentResearch labs, biotech firms, healthcare organizations, often in leadership rolesTech companies, finance, healthcare, with focus on data analysis and modeling
Employer & Industry UsageBiotech, pharmaceuticals, healthcare industry, often in executive or strategic rolesVarious industries including tech, finance, healthcare, focusing on data insights

Executive Computer Science Bioinformatics professionals typically hold leadership roles in biotech and healthcare, focusing on strategic decision-making, while Data Scientists analyze data across multiple industries to generate insights. Both roles require strong technical skills, but their focus and work environment differ significantly.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Virginia? The most popular types of Computer Science Bioinformatics jobs in Virginia are:
What cities in Virginia are hiring for Executive Computer Science Bioinformatics jobs? Cities in Virginia with the most Executive Computer Science Bioinformatics job openings:
Decision Science Lead

Decision Science Lead

Truist

Richmond, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

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If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Act as an individual contributor, providing project oversight and guidance to Decision Scientists, and supporting the Decision Science Manager in executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will engage in consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Responsible for mentoring and acting as a force multiplier in support of Decision Scientists, with a focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
2. Lead on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
3. Foster communication and partnership across multiple levels of the organization including engagement with LOB leaders and senior managers. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals.
4. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
5. Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
6. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
7. Represent assigned business group in various forums, work streams, and executive reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives.

QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills
2. Bachelor's degree or equivalent education and 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience
3. 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
4. Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
5. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact
6. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
7. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact
8. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness
9. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Preferred Qualifications:
1. Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. 2+ years of analytics management experience with a diverse project focus and demonstrated results

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019