Client Success Manager - Pharma

DOCS investors have opportunity to lead Doximity, Inc. securities fraud lawsuit. Sep 22, 2026, 20:58 ET NEW YORK, Sept. 22, 2026 /PRNewswire/ - Why: Rosen Law Firm, a global investor rights law firm, announces a class action lawsuit on behalf of purchasers of common stock of Doximity, Inc. (NYSE: DOCS) between August 8, 2024 and May 13, 2026, both dates inclusive (the "Class Period"). A class action lawsuit has already been filed. If you wish to serve as lead plaintiff, you must move the Court no later than November 16, 2026. So what: If you purchased Doximity common stock during the Class Period you may be entitled to compensation without payment of any out of pocket fees or costs through a contingency fee arrangement. What to do next: To join the Doximity class action, go to https://rosenlegal.com/cases/doximity-inc/join or call Phillip Kim, Esq. toll-free at 866-767-3653 or email [email protected] for information on the class action. A class action lawsuit has already been filed. If you wish to serve as lead plaintiff, you must move the Court no later than November 16, 2026. A lead plaintiff is a representative party acting on behalf of other class members in directing the litigation. Why Rosen Law: We encourage investors to select qualified counsel with a track record of success in leadership roles. Often, firms issuing notices do not have comparable experience, resources, or any meaningful peer recognition. Be wise in selecting counsel. The Rosen Law Firm represents investors throughout the globe, concentrating its practice in securities class actions and shareholder derivative litigation. Rosen Law Firm has achieved the largest ever securities class action settlement against a Chinese Company. Rosen Law Firm was Ranked No. 1 by ISS Securities Class Action Services for number of securities class action settlements in 2017. The firm has been ranked in the top 4 each year since 2013 and has recovered billions of dollars for investors. In 2019 alone the firm secured over $438 million for investors. In 2020, founding partner Laurence Rosen was named by law360 as a Titan of Plaintiffs' Bar. Many of the firm's attorneys have been recognized by Lawdragon and Super Lawyers. Details of the case: According to the lawsuit, throughout the Class Period, Doximity overstated the impact that its Newsfeed would have on its revenue growth, and Doximity was losing market share to its competitors with more favorable pricing and engagement models, while also using banner ads and e-newsletters instead of deep engagement tactics. When the true details entered the market, the lawsuit claims that investors suffered damages. To join the Doximity class action, go to https://rosenlegal.com/cases/doximity-inc/join or call Phillip Kim, Esq. toll-free at 866-767-3653 or email [email protected] for information on the class action. No Class Has Been Certified. Until a class is certified, you are not represented by counsel unless you retain one. You may select counsel of your choice. You may also remain an absent class member and do nothing at this point. An investor's ability to share in any potential future recovery is not dependent upon serving as lead plaintiff. Attorney Advertising. Prior results do not guarantee a similar outcome. Contact Information: Laurence Rosen, Esq. Phillip Kim, Esq. The Rosen Law Firm, P.A. 275 Madison Avenue, 40th Floor New York, NY 10016 Tel: (212) 686-1060 Toll Free: (866) 767-3653 Fax: (212) 202-3827 [email protected] www.rosenlegal.com SOURCE THE ROSEN LAW FIRM, P. A.

Doximity announces publishing of Bedside Bench; A new open-source benchmark for measuring clinical-grade ai. Published on 09/22/2026 at 09:08 pm EDT S&P Capital IQ Doximity, Inc. announced the publishing of a new open-source benchmark for measuring clinical-grade AI; called Bedside Bench, the benchmark has been built to test AI's ability to be a trusted partner to doctors where it matters most: at the bedside; Bedside Bench is one of several domain-specific evaluations included in Fireworks? new Index; in addition to clinical medicine, the Index includes benchmarks developed with Harvey for law and Sierra for customer support; A More Realistic Test for Clinical-Grade AI; Bedside Bench cases emphasize areas that physicians and AI developers have identified as having the biggest impact in practice; whereas traditional clinical AI benchmarks often use multiple-choice questions to measure recall, Bedside Bench uses clinical scenarios so it more closely measures real-life performance; test areas include: drug-safety questions where small errors can have major health consequences; ability to correctly apply specific evidence from drug guidelines and trials; open-ended questions with multiple reasonable answers but with important differences in completeness and safety; prompts containing made-up drugs, or nonexistent studies and trials; questions designed to uncover health-equity mistakes and bias; the ability to include important actions from a long list of options while avoiding inappropriate ones; when independently graded by Fireworks, Doximity Ask ranked first versus frontier models; this result follows Doximity Ask outranking all other U.S.-based models in July?s independent NOHARM study from researchers at Stanford and Harvard; this provides yet another signal that AI systems built specifically for medicine exceed leading general-purpose frontier models on clinically relevant tasks. (C) S&P Capital IQ - Business Wire - 2026

Doximity has been named a founding partner in Fireworks' new Specialized Intelligence Index, a collection of leading AI benchmarks across industries. The digital platform for US medical professionals launched Bedside Bench, an open-source benchmark measuring clinical-grade AI performance. Bedside Bench tests AI systems using realistic clinical scenarios rather than multiple-choice questions. It evaluates drug safety, evidence application, health equity, and the ability to identify appropriate medical actions whilst avoiding inappropriate ones. When independently assessed by Fireworks, Doximity Ask ranked first against frontier AI models. This follows its top performance amongst US-based models in July's NOHARM study from Stanford and Harvard researchers. The Index also includes domain-specific benchmarks from Harvey for law and Sierra for customer support. Doximity's network includes over 85% of US physicians.